0XGOONS

@Leooweb3 20k per minute fam

You can only pick one

@Techriztm @C_POTENS Congratulations 🎊

CONGRATULATIONS TO ME ON MY NEW MERCEDES 🖤 My first Car. A $100k AMG. If you told 20-year-old me that starting Forex would lead to this, he would’ve argued. I truly lack words. Thank you, Lord. Thank you, Forex. ForeverMarriedToTheGrind🍷

we have started to see lending against prediction market positions and now also leveraged predictions today @intodotspace announced their seed round of $3 million with a mix of VCs going into their round. they are launching on solana, the home of the degens. as we are in crypto, of course we needed some extra leverage. I have signed up to test their platform as soon as it goes live.

@MarcellxMarcell I don’t understand it. I don’t know what it means. Guess I’m unc now.

@mango_ @Arcium @stealf_finance @solana @alexsmiles14 @yrschrade @NFTmickrich @kubs23 @yesjess @itsmaximilian @NickPreszler Hey man yku ever used @theprivacycash ?

P R I V A C Y You hear this a lot lately, it seems like a new trend. But which projects are leading the charge and worth keeping an eye on for potential $$$ airdrop? 1 | @Arcium, the backbone powering Solana’s privacy stack 2 | @stealf_finance, neo-bank offering 100% anonymous transactions + virtual & physical cards 3 | @darklakefi, turning swaps into private dark pools and flipping MEV into LP yield 4 | @theprivacycash, lets you transfer funds to a clean wallet without linking past addresses or transaction history 5 | @vanishTrade, encrypted trading interface for pros & funds. $1M pre-seed from Solana Ventures + Pivot Global 6 | @offgridcash, privacy-first crypto cards and instant payments. No KYC, no delays, no compromise. 7 | @meleemarkets, prediction markets with private order flow 8 | @UniFi_Labs, private perpetuals on Solana. Not live yet, but one to watch 9 | @UmbraPrivacy, “incognito mode” for Solana. Soon on mainnet Are you bullish on privacy narrative in crypto right now? 👇

Let’s get this man on a @MoneroTalk . Like and share.

@Cobratate You are stupid until you are a genius

Tales of Wudan - The Tiger And The Fly

There is no going back to "hand coding". In the very near future, all Software will be written by AI.

If you’re building a dApp, wallet, or DeFi product, think beyond transparency. Combining these technologies can give users confidence, trust, and competitive advantage. #CryptoPrivacy #ZKP #MPC #FHE #Blockchain #DeFi #PrivacyTech

for truly confidential finance. Takeaway: Privacy in crypto is no longer optional it’s essential for finance, identity, and governance. ZKPs, MPC, FHE = different levels, different strengths, but can work together.

How To Stack Them for Maximum Privacy: 1️⃣ ZKPs for on-chain transactional privacy 2️⃣ MPC for shared key management and secure signing 3️⃣ FHE for confidential computation on-chain or off-chain Goal: An ecosystem where transactions, wallet keys, and computations are all private

Key Differences Between Them: TechnologyData ExposureComplexityCommon Use ZKPMinimalMediumPrivate transactions, L2 MPCNone per participantMediumThreshold wallets, secure computation FHENoneHighComputation on encrypted data, private AI

🧵 THREAD: The Three Major Privacy Technologies in Crypto You Need to Know 🛡️ Privacy is becoming the next frontier in crypto. While blockchains are transparent by design, users increasingly demand confidential transactions, private assets, and secure computation.

Still emerging, but projects like Duality, Zama, NuCypher (proxy re-encryption) are experimenting with FHE. Use Cases: Privacy-preserving analytics Confidential DeFi and lending Private AI on encrypted data Anonymity: Very strong data never exposed during computation.

Still emerging, but projects like Duality, Zama, NuCypher (proxy re-encryption) are experimenting with FHE. 3️⃣ Fully Homomorphic Encryption The most advanced: you can compute on encrypted data without decrypting it.

Popular in crypto for threshold signing and secure wallets. Use Cases: Custodial wallets & DeFi governance Confidential voting & elections Shared computation in decentralized finance Anonymity: Data inputs are never fully revealed;

addresses still exist. 2️⃣ Multi-Party Computation (MPC) Let's multiple parties compute a function together without revealing their individual inputs. Example: Several institutions can calculate aggregate statistics without revealing individual data.

Popular implementations: Zcash (zk-SNARKs), StarkWare (zk-STARKs), Aztec Network. Use Cases: Private transactions (Zcash) Confidential DeFi (Aztec) Layer 2 scalability with privacy (StarkWare) Anonymity: Strong for transactional privacy, but usually pseudonymous

Here are the three pillars powering this movement. 1️⃣ Zero-Knowledge Proofs (ZKPs) Allows one party to prove something is true without revealing the underlying data. Example: You can prove you have enough balance to make a transaction without showing your balance.