Blockchain explorers have vast amounts of data, meaning that advanced use cases are possible. Given that they can be challenging for the average user to navigate, there’s also significant potential for those that create user-friendly interfaces, such as Bubble Maps, which create visuals based on blockchain data.

A few interesting ones include:

1. Tracking Insider Trading & Market Manipulation: Watch whale wallets, project team allocations, and early investor activity to detect suspicious token dumps before a price crash.
2. Downloading XLS Data for Custom AI-Powered Trading Models: Export large datasets from blockchain explorers and train AI models for predicting price movements, yield farming trends, or liquidation risks.
3. Identifying Airdrop Farming Strategies: Analyze how users interact with new protocols across multiple wallets to determine patterns that qualify for airdrops.
4. Monitoring Wallets of High-Profile Traders: Follow the addresses of known DeFi whales, influencers, or MEV traders to copy their yield farming or NFT flipping strategies.
5. Tracing Stolen Funds & Exploit Recovery: Victims of hacks, rug pulls, or phishing scams can trace where funds are moving, monitor laundering tactics, and report transactions to law enforcement.
6. Analyzing Gas Fee Arbitrage Across Chains: Compare gas costs on Ethereum, Arbitrum, Optimism, and Base to determine the most cost-efficient times and chains for large transactions.

Other examples include tracking NFT minting contracts to snipe, checking validator rewards, researching DAO governance decisions, uncovering crypto exploits before they go public, and much more.