SUI (SUI)

gn ct spent an hour trying to make the router puke on @ferra_protocol weird pairs, mid‑cancel, slippage flips, gas bumps it held pathfinder clearly sims and ranks before send, and it even split one swap across DLMM and Cetus to keep price impact boring later dug around and saw CYBRING audited the aggregator stack, calling out multi‑hop enumeration and simulated execution that’s the moat most people sleep on asks: - route explain toggle with per‑hop fee, depth, and expected fill - include a pre‑trade sim id on the quote and a post‑trade route receipt so we can diff expected vs actual - slider to allow splits or force single venue when provenance matters i’ll pay a bp to know exactly where the fill lives my rule: clean route or no route give me verifiable paths and i’ll size up until then i’ll keep mid tickets and log variance boring is good, boring scales 🫡

$SUI has more token volume than Hyperliquid, Monad, Aptos and Sei combined. https://t.co/1qGZYCE5S9

There's no longer any logic behind Sui It's not Cetus's own problem Goodbye Sui

Slow & steady wins the race 😉 Week 3 points for @DeepBookonSui are out now 📘 https://t.co/ey9BwB8iNU

Interesting findings, appreciate your sharing these with our team ahead of the publication of this paper, and we are in agreement that web-based authentication ecosystems require security practices beyond what ZKPs alone can offer. As the creators of zkLogin, and as our team shared during that conversation, we fundamentally disagree with a few points:  1. You argue that zkLogin’s security relies on several environmental assumptions that are not enforced at the protocol level. On Sui, there is an explicit allowlist of providers , rendering this scenario impossible. You can see for yourself on the Myst en Labs github : https://t.co/GVNsVqrhON . The issuer checks are not prover‑local as you seem to have assumed. 2. You suggest that impersonating real users is possible. A malicious AWS Cognito issuer cannot produce JWTs with a different issuer string than the one they have been assigned. Therefore, impersonating real users on Sui is impossible even with an attacker-controlled issuer, and zkLogin remains secure.

𝐃𝐄𝐄𝐏𝐁𝐎𝐎𝐊 𝐇𝐀𝐒 𝐆𝐑𝐎𝐖𝐍 𝐈𝐍𝐓𝐎 𝐀 𝐅𝐔𝐋𝐋 𝐄𝐂𝐎𝐒𝐘𝐒𝐓𝐄𝐌 𝐎𝐍 𝐒𝐔𝐈 After the Deep Points Program went live, I wanted to understand where points actually stack across the different apps connected to DeepBook liquidity. So I focused on four protocols: @Lotusfinance_io @CetusProtocol @_deeptrade @abyssdotxyz All of them use DeepBook under the hood. But their core functions are different. And that changes how you earn points on each one. Here’s what each platform is built for: 🔹 Lotus → vault strategies and structured yield plays 🔹 DeepTrade → active trading (perps + spot routed through DeepBook) 🔹 Cetus → swaps and liquidity provision 🔹 Abyss → vault deposits for passive yield + trading (currently in beta) Same liquidity layer. Different activities. Because of that, points stack differently depending on how you use them. From my own testing: Lotus stacked points fastest for me through vault activity. DeepTrade followed from frequent trades. Cetus stacked steadily through swaps/LP. Abyss was more passive since I mai

The state of @SuiNetwork in 2026: Users vs agents https://t.co/i81NtixwtK

The last two times $SUI hit this support line, it proceeded to pump 500% and 1,000% respectively. Both times the moves happened within a six month window. Feels like a solid place to bid. https://t.co/iaAED6NgLM

Week 2 on @ferra_protocol Day 9 checking in on Ferra Day 4 spinning the lucky wheel with 1 SUI ..hit the Jackpot with 2200 point again today I have been looking at how points systems are being used across DeFi, and most of them feel like noise farming. Click, claim, repeat. Activity without depth What caught my attention with Ferra is that its points are tied to real actions. Swaps. Liquidity provision. Actual participation inside the protocol The system subtly trains users to behave like contributors rather than short term tourists That distinction matters if social DEX models are supposed to work long term. Incentives do not just attract users They shape behavior. And behavior compounds into culture @ferra_protocol seems to be shaping a liquidity culture early instead of waiting for it to form organically The real test is simple though. Does that culture remain once incentives taper off, or does activity fade when rewards compress?