Champions ⭐️⭐️⭐️ Phenomenal win for Team India in Ahmedabad. Absolutely no match for the explosive cricket played by us throughout the tournament. Brilliant character shown by the boys to keep fighting in tough situations and become world champions once again. Congratulations to all the players and all the members of the management for achieving this feat. Jai Hind 🇮🇳❤️
Quick one on @bulktrade perps: Funding keeps things fair and anchored to spot.
Every hour, longs & shorts pay each other directly (no exchange cut). Rate = Avg Premium + clamped (Interest - Premium) within +- 0.05%. Base interest is tiny 0.01% per 8h, premium tracks how much mark price deviates from oracle.
No surprises, predictable on the hour – perfect for bots & holding positions without getting wrecked.
This is how real capital efficiency happens on-chain.
Bullish on Bulk nailing the basics that matter. #BulkExchange
Hey devs, do you ever feel frustrated when your Solana perp bot misses a move due to block delays or queue spam?
@bulktrade is changing that. Their setup processes over 200,000 orders per second, with some peaks reaching over 2.5 million. This comes from their Bulk-Agave fork, which runs matching directly on validators.
There’s no waiting for the next block. Orders match in about 20 to 25 milliseconds.
gBULK
Why this matters for builders:
- Run your HFT scripts on a Bulk-Agave node locally. This way, you can test real congestion and gain a significant advantage.
- Experience sub-20ms propagation with custom QUIC/UDP and erasure coding. This results in much lower packet loss during network congestion.
- It's fully on-chain and decentralized, yet it offers CEX-level speed. You don't need off-chain servers or bridges.
If you're coding perpetual strategies, this infrastructure enables you to truly compete with centralized desks.
Privacy in DeFi is still broken - most “private” apps leak data somewhere.
I looked into @fhenix ’s FHE.sol today 👀
What it does:
• Solidity library for encrypted math
• Operate on encrypted data without decryption
Why this is interesting:
• Makes things like hidden balances & private transfers actually usable
• No heavy ZK circuits — just encrypted computation
• Easy to deploy on testnets (Sepolia)
Reality check:
• Early-stage tooling
• Dev experience still evolving
• Needs real adoption to prove itself
Still, Fhenix + @RedactMoney feels like a legit path toward real confidential DeFi.
Worth watching.
@bulktrade testnet access is the ultimate dopamine hit I'm missing right now.
Heard the UI is clean, faucet instant, and liquidations actually feel real.
Manifesting my pass tonight.
Who's with me in the wait gang?
@rizzy_sol@X_Orthodox
Ever wonder why some privacy solutions feel like "prove it happened," while others say "do it blindfolded"?
ZK-SNARKs excel at brief verification. They create small proofs that a calculation was correct without disclosing inputs. They are great for scaling, like zk-rollups, shielded transactions, or proving holdings without revealing amounts. However, after verification, data often gets disclosed or recalculated publicly for ongoing activities. This approach offers verification-first privacy. It works well for one-time actions but is challenging for tasks that require state.
FHE changes the game. It allows you to compute directly on encrypted data. You can add, multiply, or run any logic, while the result remains encrypted until the correct key decrypts it. There are no leaks during the process. Imagine private auctions where bids are hidden until the reveal, multi-party DeFi positions interacting in secrecy, or on-chain machine learning working without exposing datasets. This provides true programmable confidentiality.
Here are some trade-offs to consider looking ahead to 2026:
- ZK: verification is fast, but complex operations lead to heavy circuits, setup rituals in some cases, and redesigning applications around proofs.
- FHE: computation has been heavier historically, but Fhenix's threshold techniques, along with a recent 20,000× speed improvement in decryption and the Decomposable BFV method—giving exact precision for financial calculations without noise issues—have changed everything. CoFHE is now available on Base, Arbitrum, and Ethereum mainnet test flows, making it compatible with EVM.
Fhenix is betting on FHE for "encrypted state" on Ethereum, eliminating the need for complex circuits for each application. RedactMoney gets it right: it offers redacted balances, confidential transfers, and shielded yields, all computed in an encrypted format from start to finish, allowing for seamless integration without leaks.
For developers: if your decentralized application requires ongoing private operations—not just a one-time proof—FHE feels like Solidity on steroids with built-in privacy. fhEVM lets you incorporate encrypted variables and types with minimal changes, enabling you to start prototyping shielded logic today.
ZK scaled Ethereum. FHE is making it truly private.
As one insightful commentator said, "Privacy isn’t ideology—it’s economics. Concrete losses lead to concrete value." Institutions recognize the return on investment from protection against frontrunning, hidden positions, and confidential governance. That's the direction we're heading.
I’m excited: "FHE isn't just the next privacy trend—it’s the breakthrough that will make encrypted DeFi unstoppable in 2026 and beyond."
Which side are you building on?
@fhenix@RedactMoney
Yo @bulktrade is quietly cooking the best perps DEX on Solana and nobody's ready.
CEX speed without the 'trust me bro' custodian vibes? Infinite markets? No single point of failure?
Bro this isn't trading, this is straight-up cheating the matrix.
BULK to the moon or I'm eating my keyboard.
@kdotcrypto@rizzy_sol