André M. Rodrigues
@0xAMRodrigues
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Math Ph.D. & Blockchain Analyst & Researcher @chaos_labs
United States
Joined January 2021
1/ @Tempo has integrated Chaos Price Oracles to power risk-aware, low-latency pricing across its network.
Tempo’s testnet is live! Any company can now build on a payments-first chain designed for instant settlement, predictable fees, and a stablecoin-native experience. Tempo has been shaped with a wide group of partners validating real workloads including @AnthropicAI, @Coupang,
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@Hyenatrade, a USDe-margined perp DEX built on @HyperliquidX's HIP-3 standard, has integrated Chaos Price Oracles.
Introducing HyENA - the Internet Trading Engine with Native Rewards. → USDe-margined perpetuals DEX built on Hyperliquid’s HIP-3 standard → Earn rewards based on your USDe margin collateral while you trade → Idle margin becomes a productive savings account → HLPe combining
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Great video from @0xAMRodrigues at @chaoslabs, going through an overview of the mechanics and risk framework in @boros_fi
DeFi Funding-Rate Swaps: An Overview of Pendle Boros In this video, our senior data scientist @0xAMRodrigues breaks down interest-rate swap architecture, funding-rate dynamics and how the @boros_fi risk framework was designed.
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Feel free to reach out if you have any questions, my DMs are open!
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2/At @ChaosLabs, we work only with teams that take risk seriously, and @Pendle_fi definitely does. We’ve collaborated closely to ensure the protocol is safe, robust, and resilient. It’s run flawlessly since launch and soon ready to face even more volatile markets. Stay tune!
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1/Excited to share what I’ve been building at Chaos Labs these past months! Funding-rate swaps and @boros_fi aren’t always easy to grasp, but I hope this video helps. big shoutout to @gabavineb, @vgtgdg_five, @atiselsts_eth, and @craigleriche, fantastic team to collaborate with🫡
DeFi Funding-Rate Swaps: An Overview of Pendle Boros In this video, our senior data scientist @0xAMRodrigues breaks down interest-rate swap architecture, funding-rate dynamics and how the @boros_fi risk framework was designed.
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Stream’s First Casualty: deUSD 1/ After Stream disclosed a $93M loss in user funds, Elixir’s deUSD and sdeUSD collapse became inevitable. Elixir was key in Stream’s recursive xUSD minting loop and held $68M in USDC exposure to Stream, representing about 65% of deUSD’s backing.
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1/ @tydrohq is live on @inkonchain and is the first @Aave whitelabel deployment to use Chaos Price Oracles as its exclusive price feed provider.
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1/ Chaos Price Oracles are live on @Boros_fi, the first onchain funding rate trading protocol.
1/ We worked with the @pendle_fi team to build the risk stack for @boros_fi, the first onchain protocol for trading funding rates. This required new frameworks, including dynamic margin models, auto-deleveraging mechanics, and real-time risk monitoring.
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1/ We are building the risk management framework for @Etherealdex, a high-throughput perp DEX appchain settling on @Arbitrum. Ethereal combines sub-20ms latency and capacity for 1M orders per second with onchain settlement, serving as the all-in-one app for @ethena_labs USDe.
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Our research highlights risk watch points and does not give a verdict, even if the article title suggests otherwise. PT-collateralized USDe, diversified stablecoin debt, and liquid leverage create stabilizing flows. When yields compress, positions rebalance through debt swaps
Chaos Labs debates USDe risks as Pendle looping trade swells Ethena’s Aave footprint to $6.6 billion
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AI is the best demoware ever invented. You can hack something in a weekend, post a screen share, and go viral. But turning that into a product people trust is brutal. The first time users lose trust, they’re gone. The gap between demo and production is massive. For all the AI
Anyone can build an AI demo. Few can ship an AI product, especially in finance. @omeragoldberg, CEO @chaos_labs, and @diogomonica, GP @HaunVentures, discuss the gap between AI prototypes and production and why finance raises the stakes.
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Everyone's obsessed with bigger LLMs and prompts. But our insight in building AI systems for billion-dollar protocols is simple: Your AI is only as good as your search. So we built Chaos Search. Part 1 of a series exploring how we built a SoTA financial search for agents 👇
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1/ Stress Testing Ethena: A Quantitative Look at Protocol Stability We published a research paper on @ethena_labs evaluating how USDe and sUSDe perform under exchange failures, collateral stress, and the resulting risk to @Aave. Here are our key findings.
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“I don’t like calling them scaling laws. They're not actual laws.” @ilblackdragon, co-author of Attention Is All You Need and co-founder of @NEARProtocol, joined our CEO @omeragoldberg to discuss why future AI breakthroughs may come from improved training and formal reasoning
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1/ Introducing Chaos AI—The World’s First AI-Powered Crypto Researcher. Built on years of proprietary data from securing trillions in trading volume, Chaos AI transforms fragmented market data into institutional-grade financial intelligence. Get Early Access:
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We’re excited to announce the launch of the @Ether_Fi Risk Dashboard! Built to empower the EtherFi community, this dashboard provides real-time insights into TVL, TVR, liquidity, node operators, and key risk metrics 🧵
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