Idris Oguntoye
Blockchain data analyst specializing in DeFi protocol mechanics, on-chain fund flow tracing, and wallet-level behavioral analysis using SQL and Dune Analytics. Background in 3 years of Web3 marketing research provides deep understanding of protocol positioning, tokenomics, and ecosystem dynamics. Published researcher with reproducible analyses covering DEX liquidity, liquid staking infrastructure, yield-bearing stablecoin architecture, and yield product transparency. All work is open-source and verifiable on Dune and Medium.
Experience
Web3 Marketing & Research Contributor
VARINITY
Conducted in-depth competitive and positioning analysis of blockchain infrastructure protocols (Filecoin, Arweave, Storj, Flare, Crust Network, Grass, Space and Time) for client GTM strategy — work requiring deep understanding of tokenomics and protocol economics.
Produced investment-oriented research on emerging Web3 sectors including prediction markets and decentralized data infrastructure.
Built pitch decks, strategic long-form content, and campaign strategies for clients including Chromia, YEX, and Bybit, translating technical concepts for varied audiences.
Diagnosed affiliate funnel conversion failures and delivered data-driven optimization recommendations for digital commerce client (Keycense).
Education
Obafemi Awolowo University, Osun State, Nigeria
BSc. Quantity Surveying
Skills
TOOLS & PLATFORMS
Dune Analytics
Etherscan / Blockscout
Arkham Intelligence
DeFiLlama / Merkl
GitHub (open-source repos)
ON-CHAIN RESEARCH & ANALYSIS
Yield-Bearing Stablecoin Architecture: Unitas / Jupiter Perps
Researched and published analysis of yield-bearing stablecoin economics, tracing how Unitas Labs captures yield through Jupiter Perps' JLP delta-neutral strategy on Solana.
Verified all protocol claims against primary sources: 75% JLP fee capture (Jupiter docs), 80/10/10 revenue split, hourly re-hedging, 8-15% historical APR (Unitas docs).
Compared structural differences between funding-rate-dependent models (Ethena USDe) and fee-capture models (Unitas sUSDu), including risk analysis of each approach.
Cross-referenced Tether's $13B 2024 profit ($7B from Treasuries) and stablecoin market data ($300B+ market cap) to frame the yield-distribution problem across the industry.
Published on Medium with full source verification; promoted via X/Twitter thread.
Uniswap Fee Switch: LP Behavioral Analysis
Designed wallet-level tracking methodology to measure LP exits using on-chain Mint/Burn events across 20,000+ wallets, bypassing aggregate TVL limitations.
Decomposed 34.7% LP earnings decline into fee-switch and market-driven components using fee-tier-specific analysis across Uniswap V3 pools.
Built 9 SQL queries, live Dune dashboard, and open-source GitHub repository.
Published findings on Medium and Hashnode; cited institutional research from FalconX and Keyrock for methodological context.
Kraken DeFi Earn: On-Chain Fund Flow Investigation
Traced actual fund flows of Kraken's DeFi Earn product ($67M TVL) on-chain to verify whether published product disclosures matched on-chain reality.
Discovered ~70% of Advanced Strategies vault ($36M of $51M) converted from USDC to PayPal's PYUSD and deployed into Merkl-incentivized lending pools on Morpho and Euler.
Identified that roughly half the yield derived from temporary promotional incentive programs (PYUSD adoption campaign), not solely organic borrower demand.
Verified PYUSD exposure and Merkl reward claims directly on Etherscan (strategy contract 0xC5e0...9720). Survived expert adversarial credibility audit.
Tools: Dune Analytics, Etherscan, Ink Blockscout, Arkham Intelligence, DeFiLlama, Merkl.
Lido stETH: V3 Infrastructure Readiness Analysis
Analyzed 3 years of on-chain data (1,089 days, 10M+ transactions) to assess system capacity for institutional staking adoption ahead of Lido V3 launch.
Discovered positive network effects: high-growth days showed 61% tighter peg deviation (0.045%) versus low-growth periods (0.117%).
Validated institutional-scale flow capacity: largest single-day volume (+194K stETH, ~$500M) maintained -0.02% peg deviation.
Published reproducible analysis demonstrating 96% peg stability improvement (2023-2026).
Methods: SQL, VWAP, moving averages, correlation analysis, outlier filtering.