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Hyperliquid ecosystem screener and research surface.
ProjectLiveHyperliquid ecosystem screener and research surface.
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TL;DR
Hyperliquid ecosystem screener and research surface.
ASXN operates a Hyperliquid-focused screener (hyperscreener.asxn.xyz) and ecosystem dashboard (data.asxn.xyz/dashboard/hyperliquid-ecosystem) covering HyperEVM dApps, vault performance, and ecosystem token flows. ASXN's broader research arm publishes structured reports on prediction-market microstructure.
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Hyperliquid ecosystem dashboard with cross-protocol metrics
HyperScreener for individual asset analytics
HyperEVM dApp tracking and ecosystem reports
Validator and HLP transparency views
Research reports on PM microstructure
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Full timeline, all features, use case playbooks, comparisons and risk analysis
Open Deep DiveThe first rating sets the baseline for this project.
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ASXN is a Hyperliquid ecosystem screener and research surface — closer in shape to a sector-research terminal than a trader dashboard. The product surfaces protocol metrics, ecosystem-app coverage, vault analytics, and a research feed positioned for analysts and allocators rather than scalpers. The structural advantage is editorial framing: ASXN treats Hyperliquid as a sector to be analyzed (validator economics, HYPE flow, ecosystem app traction, HIP-4 deployer landscape) rather than a single book to be traded, which fills a real gap between Hyperdash's live-trading view and a quarterly research report. For desk-side analysts and ecosystem allocators, ASXN is a useful single-pane research layer that consolidates work that would otherwise live across Twitter, validator dashboards, and ad-hoc spreadsheets. The structural ceiling is the same single-venue scope as the rest of the Hyperliquid analytics cohort: ecosystem-only coverage means cross-venue comparisons against Solana or Base require leaving the surface, and the research framing is necessarily less time-sensitive than a live trading dashboard. ASXN is best treated as research-tier complement to Hyperdash, not a substitute for either real-time analytics or cross-venue aggregators.
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