After getting pinched, I tried using real cash with @GeniusOfficial and Railgun
A few days ago, I swapped some hefty spot trades on-chain and got pinched by an MEV bot. Watching the slippage losses felt like I was bleeding out, and as everyone knows, this transparent ledger is basically a black forest. To avoid getting sniped, I first tried out Railgun, moving some funds around for a test run. Railgun follows the typical ZK anonymous payment route; it’s more like a pure privacy infrastructure. This thing obscures the entire transaction trail and wallet amounts, achieving true anonymity to block information leaks. But using it for high-frequency or professional trading can be quite challenging, and for big funds, strong anonymity can easily attract regulatory headaches.
Later, a friend in the quant circle suggested I check out Genius. After some exploration, I found out its core is based on MPC (Multi-Party Computation). When I went heavy on a trade, Genius split a large transaction into up to five hundred intermediate wallets through its Ghost Orders mechanism. This means that before executing on-chain, those MEV hunters watching the inner circle can’t see my true intentions at all. This approach retains the auditability required by institutions while effectively preventing early detection during cross-chain transactions. Genius really feels like a professional trading terminal designed specifically for quant and institutional use, with the project claiming to have handled $15 billion in early trading volume. But right now, the publicly available on-chain data for Genius is still quite limited, so we’ll need to wait for real-world testing to see how much MEV it can actually dodge.
My intuitive sense after this run is that the two are not in direct competition. If you want to make purely anonymous transfers, then use Railgun. But if you’re looking to reduce slippage at the trading level, Genius’s compliance-driven privacy logic is definitely more practical. Either way, whether you’re hedging against the transparency bugs of public ledgers, everyone needs to be wary of the security risks in the underlying smart contracts. I’ll hold back some small funds and continue to compare gradually. #genius $GENIUS
A few days ago, I swapped some hefty spot trades on-chain and got pinched by an MEV bot. Watching the slippage losses felt like I was bleeding out, and as everyone knows, this transparent ledger is basically a black forest. To avoid getting sniped, I first tried out Railgun, moving some funds around for a test run. Railgun follows the typical ZK anonymous payment route; it’s more like a pure privacy infrastructure. This thing obscures the entire transaction trail and wallet amounts, achieving true anonymity to block information leaks. But using it for high-frequency or professional trading can be quite challenging, and for big funds, strong anonymity can easily attract regulatory headaches.
Later, a friend in the quant circle suggested I check out Genius. After some exploration, I found out its core is based on MPC (Multi-Party Computation). When I went heavy on a trade, Genius split a large transaction into up to five hundred intermediate wallets through its Ghost Orders mechanism. This means that before executing on-chain, those MEV hunters watching the inner circle can’t see my true intentions at all. This approach retains the auditability required by institutions while effectively preventing early detection during cross-chain transactions. Genius really feels like a professional trading terminal designed specifically for quant and institutional use, with the project claiming to have handled $15 billion in early trading volume. But right now, the publicly available on-chain data for Genius is still quite limited, so we’ll need to wait for real-world testing to see how much MEV it can actually dodge.
My intuitive sense after this run is that the two are not in direct competition. If you want to make purely anonymous transfers, then use Railgun. But if you’re looking to reduce slippage at the trading level, Genius’s compliance-driven privacy logic is definitely more practical. Either way, whether you’re hedging against the transparency bugs of public ledgers, everyone needs to be wary of the security risks in the underlying smart contracts. I’ll hold back some small funds and continue to compare gradually. #genius $GENIUS