Real testnet example: Confidential carbon credit auctions, preventing manipulation. @zama_fhe #ZamaCreatorProgram

Zama use case N°4 Sealed-Bid Auctions (vs. Other FHE): Bids stay encrypted until reveal, computed fairly on-chain. Zama's coprocessors make this scalable (e.g., NFT auctions on Solana), unlike slower FHE rivals. @zama_fhe #ZamaCreatorProgram

Example: Institutional RWAs (e.g., real estate tokens) trade confidentially, boosting adoption—private chains can't integrate with open liquidity pools. @zama_fhe #ZamaCreatorProgram

Zama use case N°3 Encrypted RWA Tokenization (vs. Private Chains): BlackRock's tokenized funds on private setups hide prices from competitors. Zama enables this on Ethereum with encrypted asset values and yields, composable with public DeFi. @zama_fhe #ZamaCreatorProgram

@Almanak__ @Almanak__ advantages : Proven Backing and Potential: Strong investor support and upcoming token utilities (e.g., governance) position it for growth, with features like points farming campaigns offering early incentives.

@Almanak__ @Almanak__ advantages : Multi-Chain and Versatile: Supports cross-chain operations and extends to gaming, allowing seamless profitability optimization across ecosystems.

@Almanak__ @Almanak__ advantages : Accessibility: Natural language interfaces democratize advanced financial strategies, making them available to non-experts without deep coding knowledge.

@Almanak__ @Almanak__ advantages : User Control and Security: Users maintain full custody of assets—no third-party holds funds—while the platform enhances security via simulations and agent-based modeling to minimize vulnerabilities in DeFi and gaming protocols.

@Almanak__ @Almanak__ advantages : AI-Powered Optimization: Agents dynamically fine-tune strategies based on real-time market data, outperforming static rules-based tools through pattern recognition and risk-adjusted returns.

@Almanak__ advantages : Automation and Efficiency: It streamlines complex DeFi tasks like yield farming by generating and executing production-grade code automatically, reducing manual effort and enabling "maximal yield with minimal work."

Advantages of Using @Almanak__ https://t.co/vPUeMBpOEM Deposit Stable coins to earn yield :

@Almanak__ @Almanak__ 's goal is to maximize protocol profitability and economic security through agent-based modeling, evolving toward fully autonomous market analysis

@Almanak__ The @Almanak__ project has raised over $10.95 million from investors like NEAR Foundation, Delphi Ventures, and Hashkey Capital, with its native token (ALMANAK) expected to launch in late 2025 via an ICO on Legion Launchpad at a $90M fully diluted valuation.

, which are translated into optimized code via AI agents. These agents @Almanak__ perform backtesting with Monte Carlo simulations, dynamically adjust parameters for yield farming and risk management, and operate across multiple blockchains.

@zama_fhe Zama's technology integrates these steps seamlessly: Privacy: FHE ensures data stays encrypted throughout. Scalability: Optimized for blockchains like Ethereum with fhEVM. Use Cases: confidential payments, private trading, and encrypted voting. @zama_fhe #ZamaCreatorProgram

@zama_fhe 5. Verification on Blockchain Process: The blockchain ensures the computation's integrity and immutability. All parties can verify the process was executed correctly without seeing the underlying data, thanks to cryptographic proofs. @zama_fhe #ZamaCreatorProgram

@zama_fhe 4. Result Decryption (If Needed) Process: After computation, the result can be decrypted by the intended party (user or designated entity) using their private key. Alternatively, the result can remain encrypted if further privacy is required. @zama_fhe #ZamaCreatorProgram

@zama_fhe 3. Confidential Computation Process: The smart contract, enhanced with Zama's fhEVM (FHE-enabled EVM), performs computations on the encrypted data. Using FHE, it can add, multiply, or compare values without ever decrypting them, preserving privacy. @zama_fhe #ZamaCreatorProgram

@zama_fhe 2. Submission to Blockchain Process: The encrypted data is submitted to a smart contract on the blockchain. Since the data is encrypted, it remains confidential even as it’s stored and shared across the decentralized network. @zama_fhe #ZamaCreatorProgram

1. Data Encryption Process: Users encrypt their sensitive data (e.g., transaction amounts,votes,bids) using Zama's FHE framework before sending it to the blockchain. It transforms data into an unreadable format that only the FHE system can process. @zama_fhe #ZamaCreatorProgram