According to @ItsDave_ADA, a Solana victim transaction that included a priority fee was front-run by an attacker transaction that appeared to pay no priority fee, as evidenced by the three Solscan transactions shared in his post. source: https://twitter.com/ItsDave_ADA/status/2009213026059079886 source: https://solscan.io/tx/UBgAKp7Fp5nVB5duHb72NDbksdSR9gu5e5hfe8fzLNWKAeNeoUPnr7c3tBJb4CLBQRF4vtX4nxyHC7wixwFmngV source: https://solscan.io/tx/3qmJ8CRJuoXudVeUBML8QfsBnXfW8tH6fiWWCVnEbVH83fPhqCjGg6HeTJPQ1o9jhdCE6ziUHkEypAY62XTf1fzf source: https://solscan.io/tx/BnWATXrcdbNWEHgJNjtCQFSqikTHcx3wXA2gfHvB1JUm91S1UJGMifMsZcCU5mBwqM8QBMqz2x4VZKGNoXcUD6J On Solana, priority fees are expressed as compute unit price and raise inclusion probability but do not guarantee ordering because leaders schedule transactions using multiple signals and local fee markets, so a lower or zero priority fee can still land earlier under certain routing and QoS conditions. source: https://docs.solana.com/developing/runtime-facilities/compute_budget source: https://docs.solana.com/transaction_fees source: https://docs.solana.com/cluster/stake-weighted-qos Direct submission to the slot leader via block engines or private relays, including Jito's block engine bundles, can place transactions ahead of public RPC order flow independent of priority fee level. source: https://docs.jito.network/block-engine/overview source: https://docs.solana.com/terminology Private or low-latency RPC routes that forward transactions directly to leaders, such as Direct-to-Leader services, can win ordering against public RPC even when the competing transaction pays a priority fee. source: https://www.quicknode.com/changelog/introducing-direct-to-leader-for-solana For traders, the actionable mitigations are to route orders through MEV-protected private submission endpoints or bundles to reduce frontrunning and sandwich risk. source: https://docs.jito.network/clients/mev-protect source: https://www.helius.dev/blog/introducing-helius-protect-private-transactions-on-solana Additionally, set a competitive compute unit price via the ComputeBudget instruction and use congestion-aware estimates so your transaction remains at the front of the local fee market when pools are busy. source: https://docs.solana.com/developing/runtime-facilities/compute_budget source: https://docs.solana.com/transaction_fees Finally, prefer validator-connected or direct-to-leader RPC for time-sensitive DeFi trades to minimize propagation delay and reduce adverse selection from MEV. source: https://www.quicknode.com/changelog/introducing-direct-to-leader-for-solana source: https://docs.jito.network/block-engine/overview

According to @deanmlittle, a new low-level tweak in the doppler-asm repository cuts execution by 1 compute unit (CU) and trims 16 bytes from the binary, indicating micro-optimizations at the assembly layer that can reduce runtime and code size; source: X post by @deanmlittle (twitter.com/deanmlittle/status/1966766713233395795), source: GitHub blueshift-gg/doppler-asm (github.com/blueshift-gg/doppler-asm). On Solana, prioritization fees are calculated as microlamports-per-CU multiplied by total CUs, so shaving CUs directly lowers per-transaction priority fees for the same priority level, which is trading-relevant for cost-sensitive DeFi execution; source: Solana Docs on prioritization fees (docs.solana.com/transaction_fees#prioritization-fees), source: Solana Compute Budget Program (docs.solana.com/developing/runtime-facilities/programs#compute-budget-program). Reducing binary size can also lower program deploy or upgrade costs on Solana because program accounts must hold a rent-exempt balance proportional to data size, meaning smaller binaries require less SOL locked as rent-exempt collateral; source: Solana Accounts and Rent Exemption (docs.solana.com/developing/programming-model/accounts#rent-exemption), source: Solana Program Deployment overview (docs.solana.com/deploying/programs). Net takeaway for traders: even modest CU and byte-size savings can translate into lower fees and leaner capital requirements when operating on Solana, improving cost efficiency for on-chain strategies during network congestion; source: Solana Docs on prioritization fees and compute budget (docs.solana.com/transaction_fees#prioritization-fees, docs.solana.com/developing/runtime-facilities/programs#compute-budget-program).

According to @PolynomialFi, the platform dynamically routes trades to AMMs under low-liquidity conditions and switches to order books when liquidity is high to automatically maximize trade value, highlighting a liquidity-aware execution engine for DeFi traders (source: @PolynomialFi on X, 2025-08-28, https://twitter.com/PolynomialFi/status/1961012638089093602). According to @PolynomialFi, this real-time routing removes the need for manual venue selection and is positioned as how markets should operate to optimize execution quality across regimes (source: @PolynomialFi on X, 2025-08-28, https://twitter.com/PolynomialFi/status/1961012638089093602).

According to @AveryChing, decentralized networks open novel opportunities to build efficient trading systems, emphasizing efficiency as a core design goal for on-chain execution (source: @AveryChing on X, Aug 22, 2025). He amplified ideas from @jump_ and shared a link titled Global trading engine, pointing directly to trading infrastructure efforts relevant to decentralized markets (source: @AveryChing on X, Aug 22, 2025). The post did not provide launch details, asset coverage, or performance metrics, limiting immediate trading timelines or quantifiable benchmarks (source: @AveryChing on X, Aug 22, 2025).