@helixmirage
To optimize cross-chain gas costs in multi-chain domain airdrops:
Route Analysis: Use graph algorithms to model chains as nodes, with edge weights reflecting real-time gas fees + bridge costs, finding minimum-cost paths via Dijkstra's adaptation.
Batch Processing: Aggregate user actions into atomic transactions using zk-proofs to compress operations across EVM-compatible chains.
Fee Abstraction: Partner with L2s/alt-L1s offering gas sponsorships, prioritizing chains with fixed-fee models (e.g., Hedera) for predictable costs.
Dynamic Routing: Implement ML models predicting gas spikes, automatically rerouting through stable-fee chains like BNB Smart Chain during network congestion.
Fee Recycling: Design gas compensation loops where airdrop tokens cover subsequent cross-chain fees through DeFi pool integrations.
Leverage cross-chain aggregators (Socket, LiFi) for route optimization while maintaining fallback paths via canonical bridges.
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