Since 2022, almost all my writing and research has been about crypto.
I approach the space from a blockchain features–first perspective. I am interested in how protocol primitives, and developer experience shape what applications can exist, and how these design choices affect builder onboarding and long-term ecosystem growth.
Stablecoins are the primary domain where I explore these questions today. My recent work focuses on stablecoins and vault protocols, especially how to build structured finance primitives onchain and what kinds of DevX unlock the highest leverage. Besides, I also write about application money, implied tokenomics design, composable vault architectures, and yield-bearing stablecoin protocols.
From 2022 to 2023, I was mostly involved in the EVM space. I contributed to web3list.t.me, worked with incubator programs to explore new ERC usecases, and spent significant time at hackathons building demos and stress-testing ideas. I am strongly product-driven. I like starting from a protocol feature, imagining what it can enable, and proving it through building.
Starting 2024, I shifted focus toward Solana. The differences in culture, execution philosophy, and protocol assumptions were striking. I contributed to a Solana stablecoin startup and reshaped how I think about the stablecoin stack.
Starting 2025, I went further on why chain features are designed the way they are, learning more about consensus, validators, and MEV, also I picked up Move this year.
Selected Pieces:
[Token standards] Aptos Fungible Asset 101
[DevX] Unlocking Developer Experience Through Expressivity
[DevX] How Fungible Assets Power Wallets, dApps, and Explorers on Aptos
[Yield-bearing Stablecoins] Yield-Bearing Stablecoin Price Discovery & Secondary Liquidity
[Solana DeFi] Solana LRT Landscape and Ideas on Maximizing SOL Yield with Jito, Renzo, and RateX
[Solana DeFi] The Maturation of Solana's DeFi Stack
[Liquidity] Meteora DBC Launchpad
[Liquidity] What the industry has tried to fix AMMs
[Incentives Design] Canton
[Incentives Design] River’s Time-coded Tokenomics
[Incentives Design] ELI5 on Shelby Cost Modeling
Before crypto
Before 2022, I wrote extensively about computational design, including algorithmic design and AI-aided design, shaped by my undergraduate training as an architect. That background taught me how to work within constraints, think systemically, and take ideas from zero to execution. This way of thinking still informs my work today.
A fun fact, I was first onboarded to crypto through computational art. Friends experimenting with generative art NFTs on Ethereum with Art Blocks and on Tezos with fx(hash) pulled me in. I stayed for the people. Curious, energetic people constantly trying new things. From there, I kept learning and eventually couldn’t leave.