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WZRD FUND.

My role at WZRD spanned both strategic and technical domains, involving networking and analytical team management on one hand, and the development of automation frameworks for portfolio management on the other. View fund portfolio

Below are technical projects:

1. Smart Money Tracking & Automated Trading System

Built infrastructure for tracking crypto narratives and executing trades based on on-chain wallet intelligence.

Architecture
  • Data Ingestion Layer: In-house database with Nansen API integration for real-time wallet tracking—monitoring 10,000+ "Smart Money" addresses (funds, whales, market makers) across multiple chains.
  • Signal Engine (Python/Pandas): Pattern detection across tracked wallets—clustering buy/sell behavior, volume anomalies, token accumulation phases.
  • Execution Layer: Multi-wallet trading bots for DEXs (Jupiter, Uniswap) and CEXs (via exchange APIs), capable of triggering coordinated buys/sells across thousands of wallets when patterns emerge.
  • Database: TimescaleDB for time-series wallet activity, Redis for real-time signal caching.
Tech Stack
  • Python, Nansen API, Web3.py, CCXT (CEX integration), TimescaleDB, Redis, Celery

2. Airdrop Farming System (Hyperliquid Case Study)

Designed multi-wallet airdrop farming infrastructure with anti-Sybil obfuscation to simulate organic user behavior.

Obfuscation Strategies
  • Unique fingerprints: Rotating residential proxies, unique browser fingerprints per wallet.
  • Activity randomization: Staggered wallet creation dates, varied deposit amounts/timing, randomized transaction patterns.
  • Organic behavior simulation: Diverse protocol interactions (trading, LP provision, lending/borrowing), natural timing delays, varied transaction sequences.
Hyperliquid Farming Pipeline
  • Automated perpetual trading volume generation across wallets on H1 order book.
  • High-frequency trading coordination for weekly points maximization.
  • Wallet activity scheduling to avoid pattern detection.
  • Points tracking dashboard and distribution optimization.
Tech Stack
  • Python, Playwright (browser automation), Bright Data (proxies), PostgreSQL, custom scheduling engine

3. Alpha Sourcing System — Twitter/X Network Intelligence

Built social signal detection system monitoring 3,000+ crypto-focused Twitter/X accounts (fund managers, angels, incubator partners) for early project discover (we usually saw signals before public announcements—often weeks ahead of Crypto KOLs coverage).

System Design
  • Account Watchlist: Curated list of influential accounts: Crypto funds managers, associates, angel investors, incubator managers, etc.
  • Follow Graph Crawler (X API + Tweepy): Polls following lists at intervals, detects when multiple tracked accounts start following the same new account simultaneously.
  • Signal Extraction: When convergence detected—scrapes new account's bio, website, pinned posts, recent announcements.
  • Alert Pipeline: Discord notifications with extracted project info, links, and follower overlap score.
Tech Stack
  • Python, X API, Tweepy, PostgreSQL, Celery, Discord Bot API