Web3 Research · New York
Deciphering Web3 Ecosystems through Data & Logic.

Deep-dives into protocol architecture and market dynamics.
Bridging first-principles research with actionable Web3 insights.

R
RealRex
Student @ Weill Cornell Medicine · New York
Web3 Research On-chain Data DeFi

I approach crypto ecosystems from a research-first perspective — combining on-chain data, protocol mechanics, and market logic to produce independent, unsponsored analysis. My background in medicine gives me a unique lens for systems thinking and first-principles reasoning.

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Weekly Reports
Market pulse, protocol updates, and key data every Monday.
Coming soon
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Deep Research
Long-form protocol analysis, tokenomics, and data-driven narratives.
Coming soon
Currently Tracking
L2 Ecosystems
Base vs Arbitrum TVL dynamics
Monitoring fee revenue, user retention, and builder activity across major L2s.
DeFi
Real protocol revenue vs incentives
Separating genuine fee income from token-subsidized activity in DeFi protocols.
RWA
Tokenized real-world assets
Who is actually using RWA beyond yield? Tracking adoption beyond the narrative.
Governance
DAO decision-making quality
How on-chain governance actually plays out vs theoretical models.
Research Approach
Investor-grade evaluation
Assess projects from an investor's lens — tokenomics, competitive moats, team signals, and on-chain traction.
Decoding complexity
Break down protocol architectures and incentive mechanisms into clear, structured analysis.
Narrative vs. reality
Stress-test Web3 narratives against on-chain data — separating genuine signal from hype cycles.
Cross-domain thinking
Bridge macroeconomics, traditional finance, and systems biology to bring a multidisciplinary lens to crypto.