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About Fabrknt Learn

Fabrknt Learn is designed and built by psyto @ Fabrknt — combining traditional finance expertise with on-chain vault engineering across Hyperliquid and Drift.

P

psyto

@ Fabrknt

With 15+ years in traditional finance — core banking, compliance, KYC/AML — I saw firsthand how legacy financial infrastructure fails billions of people. I moved into blockchain development to build the alternative. I built delta-neutral funding rate vaults on both Hyperliquid (Kodiak) and Drift (Yogi) to test a common claim: that Drift is for high-frequency trading, not yield. What I found was the opposite — multi-asset DN is easier on Drift. Fabrknt Learn exists to share these insights.

Traditional Finance

15+ years in core banking systems, compliance, and KYC/AML at major financial institutions.

Blockchain Development

Full-stack development across Solana (Anchor/Rust) and EVM (Solidity). 50+ repositories.

Vault Engineering

Designed and built automated yield vaults on both Drift (Solana) and Hyperliquid.

Multilingual

Native Japanese speaker. Content available in English, Japanese, and Chinese (Beta). Community reviewers welcome.

What I Built

Kodiak

Hyperliquid

Kodiak: A delta-neutral funding rate vault on Hyperliquid with multi-dimension signal detection, regime-adaptive risk engine, configurable tilt, and cross-venue intelligence.

Yogi

Drift (Solana)

Yogi: A delta-neutral funding rate vault on Drift (Solana) with multi-asset support, native lending via Drift Earn, and continuous funding rate capture.

Fabrknt Learn

perpu.fabrknt.com

A learning platform born from building on both protocols. 72 courses in 3 languages, 5 tracks covering Fundamentals, Hyperliquid, Drift, and developer content for both. Built to share what I learned — and what AI gets wrong.

Fabrknt Flow

flow.fabrknt.com

Hyperliquid flow intelligence — real-time capital flow signals, regime detection, narrative rotation, and weekend gap monitoring. Not a price predictor — a capital intention visualizer.

Why Both Protocols?

Building the same strategy on two platforms reveals what each does best.

Hyperliquid: Single-asset (HYPE) DN only. Best for concentrated HYPE yield with tilt capability.

Drift: Multi-asset DN across SOL, ETH, BTC and more. Native lending, no bridge required.

Funding Rates: Hyperliquid settles hourly, Drift settles continuously — different optimization strategies.

Lending: HyperLend requires bridging from HyperEVM. Drift Earn is built in — zero friction.

Composability: Drift's cross-margin lets you combine perps + spot + lending in one account.

The same strategy, different architectures — understanding both gives you the real edge.

Why Hyperliquid and Drift?

This wasn't a random choice. I evaluated every major perp DEX for delta-neutral vault feasibility.

PlatformSpot+PerpLendingDN?
HyperliquidYesHyperLendYes
DriftYesNativeYes
dYdX v4Perp onlyNoNo
JupiterPerp onlyNoNo
GMX v2LimitedNoMarginal
VertexWas yesNoShut down

DN requires spot+perp on the same platform. That eliminates dYdX, Jupiter, Aevo, and Kwenta. Vertex had it but shut down — making EVM L2s risky for long-duration vault infrastructure. Only two independent L1s remain where DN actually works. They're complementary: HYPE-concentrated yield on Hyperliquid, multi-asset diversified yield on Drift.

The Insight Behind Fabrknt Learn

Many people say Hyperliquid is centralized and Drift is decentralized — but that's not the point. Even AI claimed Drift is for high-frequency trading, not yield farming. I built delta-neutral vaults on both to test that claim. What I found was the opposite: multi-asset DN is easier on Drift, while HYPE-concentrated yield is better on Hyperliquid. To understand something properly, you need to see outside of it.

What's Next

More Protocols

GRVT is next — testnet vault (Polar) already built. More protocols will follow as the perp DEX landscape evolves.

Multi-Language

Available in English, Japanese, and Chinese (Beta). More languages planned as the community grows.

More Courses

Each new protocol brings new tracks, new comparisons, and deeper understanding of what makes each architecture unique.

Need Help Deploying?

Fabrknt Learn teaches the patterns. The specific parameters — thresholds, timing, risk matrices — come from operational experience that can't be generalized. If you're building a vault or automated strategy and need help with the details, DM us.

DM @fabrknt on X

Questions or feedback? Reach out on Twitter.

@fabrknt