PERP.WIKI

Zellic vs INIT Capital

Hyperliquid ecosystem comparison · Security & Audits

Ecosystem Pick
Different Focus Areas

Quick Take

Zellic Rising star blockchain security firm with deep DeFi and cryptography expertise on Multi-Layer, while INIT Capital Unified liquidity layer with hooks architecture native to HyperEVM on Multi-Layer. They serve different niches in the Hyperliquid ecosystem.

Based on public data for Zellic and INIT Capital. Key differentiators: layer deployment, fee structure, liquidity depth, and community adoption. Last reviewed: Mar 2026.

Overview

Zellic logo

Zellic

Zellic is a rapidly growing blockchain security firm that combines deep smart contract expertise with strong cryptographic and systems security knowledge, serving protocols across EVM ecosystems including HyperEVM. Founded by top competitive CTF players, Zellic's team brings an attacker's mindset to every engagement, proactively identifying vulnerabilities in complex DeFi protocols, cross-chain bridges, and financial primitives. Zellic has audited hundreds of millions in TVL across lending protocols, DEXes, and infrastructure projects—many architecturally similar to what is being built on Hyperliquid. Their reports are known for clear vulnerability disclosure with actionable remediation guidance. For HyperEVM projects seeking an audit firm with fresh perspectives and a strong track record in cutting-edge DeFi security research, Zellic provides rigorous assessment that complements the traditional audit landscape and has earned a reputation as one of the most thorough firms for complex protocol reviews.

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INIT Capital logo

INIT Capital

INIT Capital is a unified liquidity layer and lending protocol built for the HyperEVM ecosystem, featuring an innovative hooks architecture that enables deep composability between lending and other DeFi protocols. Unlike traditional lending markets, INIT allows protocols to integrate lending liquidity natively into their own contracts via hooks, enabling one-click leverage, automated strategies, and intent-based borrowing. As a native HyperEVM-focused project, INIT Capital is optimized for Hyperliquid's unique throughput and latency characteristics. Its unified pool model shares liquidity across borrowers while hooks enable customizable liquidation logic and interest models per use case. INIT has been gaining traction as HyperEVM's primary liquidity backbone for more sophisticated DeFi applications, providing the programmable money market infrastructure that allows other protocols to build leveraged products and yield strategies on top.

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Feature Comparison

FeatureZellic logoZellicINIT Capital logoINIT Capital
LayerMulti-LayerMulti-Layer
CategorySecurity & AuditsLending & Borrowing
StatusActiveActive
Launch Year
Websitezellic.ioinit.capital
Twitter
GitHubNot publicNot public
VerifiedUnverifiedUnverified
Tags

Score Comparison

ZellicINIT Capital
Open Source
Zellic
Not public
INIT Capital
Not public
Verified
Zellic
Unverified
INIT Capital
Unverified
Ecosystem Breadth
Zellic
0 tags
INIT Capital
0 tags
Maturity
Zellic
Unknown
INIT Capital
Unknown

Feature Matrix

FeatureZellic logoZellicINIT Capital logoINIT Capital
Open Source
Verified
Has Website
Has Twitter
Has GitHub
Active Status

Key Differences

Category Focus

Zellic is focused on security & audits, while INIT Capital targets lending & borrowing. They serve different user needs within the Hyperliquid ecosystem.

When to Use Each

Choose Zellic if you...

  • Want a security & audits solution on Multi-Layer
  • Need: Rising star blockchain security firm with deep DeFi and cryptography expertise

Choose INIT Capital if you...

  • Want a lending & borrowing solution on Multi-Layer
  • Need: Unified liquidity layer with hooks architecture native to HyperEVM

Ecosystem Integration

Zellic logo

Zellic

Zellic operates on Multi-Layer (spans multiple hyperliquid layers). Spanning multiple layers lets it combine the strengths of each, though integration complexity is higher.

INIT Capital logo

INIT Capital

INIT Capital operates on Multi-Layer (spans multiple hyperliquid layers). Spanning multiple layers lets it combine the strengths of each, though integration complexity is higher.

Both protocols share the same layer, maximizing composability potential.

Community Verdict

Which do you prefer?

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