Ashwin Ramachandran

General Partner,
Ashwin Ramachandran is a venture investor and former early ThunderCore engineer who co-authored DeFi and the Future of Finance and brings protocols and cryptoeconomics expertise from designing a proof-of-stake consensus.
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Ashwin Ramachandran
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About Ashwin Ramachandran

Ashwin Ramachandran is a venture capital investor at Dragonfly Capital Partners who was previously an early engineer at ThunderCore, where he worked directly under Cornell professor Elaine Shi on designing and implementing the core proof-of-stake consensus protocol. He co-authored the book "DeFi and the Future of Finance" and contributes to Dragonfly Research, bringing expertise in protocols and cryptoeconomics to portfolio companies.

Ashwin Ramachandran's Interests

What they've been talking about across their social media accounts
  • Passionate about democratizing access to educational resources within the cryptocurrency sector. Co-authored a comprehensive book exploring key verticals like efficiency, transparency, and interoperability to help both newcomers and professionals better understand the fundamentals of decentralized finance.
  • A strong focus on blockchain infrastructure and scalability solutions that address network congestion. Frequently discusses the mechanics of Layer 1 networks and bridges, such as praising the unique design of Mir for privacy-preserving applications and the trustless bridging capabilities of Near Protocol.
  • Interest in next-generation financial instruments and on-chain derivatives. Predicts that decentralized derivatives will eventually surpass spot markets in volume, evidenced by investments in projects like DerivaDEX and Opyn that aim to replicate centralized crypto products in a decentralized environment.
  • Deep technical curiosity regarding mining algorithms and hardware efficiency. Analyzed the potential of optical proof of work and photonic co-processors as low-energy alternatives to traditional mining, debating how shifting costs from operational expenses to capital expenses could impact network security.
  • Evaluation of decentralization strategies and governance models for startups. Highlights frameworks for progressive decentralization, citing Compound as a prime example of starting centralized to iterate quickly on product-market fit before eventually distributing control to the community.
  • Attention to stablecoin innovation and peg mechanisms. Closely follows the launch and mechanics of algorithmic stablecoins, specifically noting innovations in protocol controlled value and direct incentives used by projects like Fei Protocol.

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