Designing DeFi // An academic conference // See you in 2027

Joined January 2026
23 Photos and videos
As DeFi matures, more design questions sit in the microstructure layer: → Transaction ordering → Fee mechanisms → Gas metering → Block building → Geography These infrastructure decisions shape execution quality, congestion, MEV, and credible decentralization
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@The_Zhukeeper @DrissiFay @SarishtW @jason_of_cs & @syang2ng presented work in the Microstructure track at Designing DeFi 2026 Read more ↓ designingdefi.substack.com/p…

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DeFi research is growing up Read about it on Substack: tinyurl.com/3jr99ex3
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We’re still designing DeFi
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Designing DeFi retweeted
The second annual OMI-SBS Conference on FinTech & Blockchain Economics is happening June 25–26 at Oxford University Join academics and industry leaders for conversations on the research and ideas shaping the future of financial markets Learn more ↓ sites.google.com/view/omi-sb…
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Jay designed DeFi
Had a ton of fun presenting at @Designing_DeFi my paper "Paper Agents, Paper Gains: An Empirical Study of DeFi Investment Agents", a survey tracking the scope, design, and performance of trading agents from Nov '24 to Nov '25 with @theamyzhao @sui414. Our key findings: > We scraped 1900 projects on CoinGecko (post-TGE) and Messari (pre-TGE) tagged as AI, filtered out pure infra/non-agent projects, and selected 10 representative agentic projects, incl. Giza, Surf, Numerai, AIXBT, Eliza. > We evaluated their strategy, observability, source of funds, AUM. Most agents don't actually autonomously spot trade - either they provide investment advice or engage in passive yield strategies. Even if they do trade, they don't have great onchain observability and verifiability that an agent is actually signing (vs. a human signer). > We chose to analyze Virtuals ElizaOS frameworks deeper as these had the highest onchain standardization observability. Looking at top volume projects built on Virtuals ElizaOS, we realize that several have $100M peak market cap, but extremely high MC-to-AUM ratios, with some peak ratios exceeding 10,000x (compared to 1-3x for DATs). They mostly also trade micro-cap tokens, often holding other agents' tokens. > We then choose 11 Solana projects to analyze onchain PNL for users and agent treasuries (rPNL uPNL). There seems to a disconnect - treasuries have a net profit of $34.3M, but users have losses of -$191.7M > Furthermore, there's heavy user PNL inequality, 81.4% of gains are captured by top 1% users, while 62.2% of all users suffer net losses. Agent tokens had 93% peak to trough drawdown vs. Solana only had 54% drawdown. So for the average user buying into these DeFi Investment Agents, things didn't really turn out great. > So where do we go from here? Our findings align with theoretical results abouts the "CoinAlg Bind", which posits a tradeoff between economic fairness and profitability for Collective Investment Algorithms (CoinAlgs). But DeFi trading agents are clearly here to stay, and the space is moving extremely quickly. > In our view, a mature DeFi Investment Agent must satisfy 3 criteria - (1) verifiable autonomy/execution of trades, (2) sustainable profits vs. passive benchmarks, (3) stakeholder alignments, where profits are actually passed back to individual users. While the space is still early, we're really excited about how these DeFi Investment agents can continue to evolve. [FULL PAPER LINK BELOW]
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Designing DeFi retweeted
Enterprise-grade perps performance is here. What's still open is everything around it: how liquidity is provisioned, how funding is shaped, how losses are absorbed when things break, etc. From @Designing_DeFi at Columbia by @Uniswap: @NehharShah presented hyperbolic funding rate mechanisms as a solution for balancing open interest. Natascha Hey showed that the optimal ADL policy is to equalize leverage across positions and deleverage the most-levered first. @0xnagu and Mauricio Trujillo Ramirez frame ADL as online learning on a PnL-haircut domain and provided worst-case bounds. ADL deserves rigorous mechanism design. The debate between prop AMMs vs orderbooks may even be settled by which are better at surviving big liquidation cascades.
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DeFi has been designed
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Today at D² 💫 @rajivatbarnard will give a keynote previewing concepts from his upcoming book on prediction markets
D² Keynote: Rajiv Sethi Sharing arguments from his upcoming book, Engines of Prophecy: The Power and Perils of Prediction Markets. Tickets & full program: designingdefi.xyz
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Day 1 was epic ✨ Today, we’re diving into: → Prediction Markets → Empirical analysis → DeFi microstructure → Lightning talks → AMMs
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Designing DeFi retweeted
An interesting day spending @Designing_DeFi. Covering some of my favourite topics like Risk Based Auto-deleveraging!. Excited for my talk tomorrow.
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Designing DeFi retweeted
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Designing DeFi retweeted
May 20
Cannot talk @Designing_DeFi We are designing DeFi today
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Designing DeFi retweeted
The day has come We’re designing defi
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We heard you More tickets are now available
Day 1 is sold out 🫡 But you can still design DeFi with us on Day 2 Final tickets: designingdefi.xyz
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Day 1 is sold out 🫡 But you can still design DeFi with us on Day 2 Final tickets: designingdefi.xyz
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Designing DeFi retweeted
Replying to @Designing_DeFi
@Designing_DeFi I want to design defi
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We’re getting ready to design DeFi
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Designing DeFi retweeted
May 15
Replying to @Designing_DeFi
@Designing_DeFi I want to design defi
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