🚀 Optimization: Compression & Batching
Learn how rollups minimize data costs with clever engineering
See how much you save with Layer 2 solutions
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0 / 5 completed🎯 Practical Optimization Techniques
Apply these proven strategies to reduce L2 gas costs by 40-80%. Most techniques are simple to implement and provide immediate savings.
🛠️ Strategy Explorer
Select a strategy to learn how it works and see real examples.
Transaction Batching
Combine multiple operations into a single transaction
Examples:
- ✓Multi-send: Transfer to multiple recipients in one TX
- ✓Approve + Transfer in single call
- ✓Batch NFT mints or claims
- ✓Bundled DeFi operations (swap + stake)
How to Implement:
Use multicall contracts or protocols with native batching support
📦 Batching Savings Calculator
See how much you save by batching multiple transactions. Each individual transaction has fixed overhead that gets amortized across the batch.
1 transactions × $1.00 each
Single transaction with 1 operations
💡 By batching 1 operations, you pay the fixed overhead only once instead of 1 times!
⚡ Quick Wins Checklist
Implement these easy optimizations for immediate gas savings:
✓ Use Multicall Contracts
Batch multiple calls in DeFi protocols that support it (Uniswap, Aave, etc.)
✓ Optimize Token Approvals
Set reasonable allowances to avoid multiple approval transactions
✓ Time Non-Urgent TXs
Schedule transfers and claims for weekends or late-night UTC hours
✓ Use Gas Optimized Contracts
Choose protocols using modern libraries like Solady or Solmate
✓ Batch NFT Operations
Mint, transfer, or list multiple NFTs in a single transaction
✓ Monitor L1 Gas Prices
Use trackers like Etherscan or Blocknative to find optimal timing
Easy Wins (0-2 hours)
- • Use existing batching features
- • Time transactions strategically
- • Optimize approval patterns
Medium Effort (2-8 hours)
- • Implement custom batching logic
- • Optimize calldata encoding
- • Use compression libraries
Advanced (8+ hours)
- • Custom contract optimization
- • Packed storage patterns
- • Advanced compression schemes