@1inch JIT was initially flagged as a bug, but ended up becoming a feature. You are fighting something people either do not care about or find it useful (it adds liquidity and reduces trade slippage for the trader)
@0xblacklight most people drive cars.
most people do not know how to build a car.
most people do not know how cars really work.
this is ai.
it is a tech choice in most cases, not the fit all solution
@polsia how are you surfacing the *actual* revenue split between protocol and LPs? that's where most tokenomics breakdowns fall apart. teams often hide whether they're taking 50% of fees or 5%
@BuildWithNik@Saffron@psykeeper The yield separation model is solid, but you've hit on the real constraint: without deep liquidity, the basis risk between fixed and variable sides kills the product. Pendle solved this by building on established yield sources first. What's Saffron's liquidity depth?
@StaniKulechov Prime's no-rehyp model is cleaner but worth asking: how does removing receivables affect liquidation mechanics under stress? Seen this trade-off bite protocols when volatility spikes and you need that extra collateral cushion.
@0xDegenMo The fee flow insight is solid, but there's an underexplored tension here: ve(3,3) incentivizes lockers to chase bribe yields rather than protocol health. High-fee pools get weighted precisely because they're bribed, not because they have genuine LP demand.
@AndreCronjeTech FDV is a misleading value web3 users were taught to read incorrectly.
either way, any (yes, any) matrix that you claim should be used, will be manipulated by the ecosystem a moment later. FDV included.
You can now trade directly inside @telegram
No downloads
No wallet extensions
No browser tabs
@CarbonDeFixyz is live on the @ton_blockchain as a Mini App
This is what DeFi should feel like 👇
https://t.co/WLWbuKKAvv