Cross-chain execution is no longer experimental — t3rn Executors now power real transactions across networks with verifiable on-chain proofs. Operators secure finality, earn rewards, and provide essential liquidity as transaction volume approaches 1M. With streamlined Docker deployment and transparent proof tracking, becoming a mainnet Executor has never been easier. The future of cross-chain is live — and profitable.

t3rn is introducing dual staking across both Arbitrum One and the native t3rn chain, giving holders the freedom to pursue higher rewards or strengthen the protocol’s core security. Staking rewards adjust dynamically as pools grow, while participants also earn govTRN — unlocking real governance power and a voice in shaping the network. With flexible withdrawals, built-in safeguards, and governance activation on the way, dual staking is setting the stage for a community-owned, self-sustaining execution layer.

t3rn expands its cross-chain settlement network to Flow, enabling TRN-powered execution on a high-performance, developer-friendly blockchain. Flow’s multi-node architecture delivers scalability, composability, and sub-second block times, while EVM compatibility brings ultra-low fees. Settlement costs are effectively negligible, with modest protocol fees, making Flow one of the most cost-efficient networks for cross-chain execution.

t3rn has integrated with Hyperliquid’s HyperEVM, deploying the TRN token and enabling ultra-low-cost, cross-chain settlements that combine HyperEVM’s composability with t3rn’s multi-chain execution layer for new, highly efficient DeFi use cases.

t3rn introduces a generalized verification interface for crosschain applications, allowing contracts to confirm events from multiple networks through a single method call. The settlement pipeline relies on proofs to ensure that source-chain events are final before asset movement, utilizing APIs from providers like Polymer for Merkle proofs. Once a valid proof is attached, the settlement flow continues seamlessly

Early testnet results suggest t3rn’s AIxecutors could transform crosschain execution, reducing complexity, improving speed, and opening new revenue paths for oncahin users. This case study explores how AI agents might enable profitable, automated bridging for non technical users.