Pixeltric (pixeltric)

Based on recent data, only 12.7-14.3% of Polymarket users are profitable, meaning approximately 85-89% of users lose money on the platform

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TFHE-rs, @zama_fhe 's core Rust library, provides the foundational infrastructure for all FHE operations. The library supports: ➖Boolean and integer arithmetic operations on encrypted data up to 256-bit precision ➖Programmable bootstrapping for unlimited computation depth ➖Multi-platform compatibility across CPU, GPU, and specialized HPU hardwarewe ➖Client-side WASM API for browser-based encrypted applications #ZamaCreatorProgram

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Technical breakthroughs that made @zama_fhe the FHE leader: 🔐 Mathematical operations run directly on encrypted data - imagine doing calculus on a locked vault without ever opening it. Data stays encrypted from input to output, forever. ⚡ Performance revolution: ➖Bootstrapping: 20ms → 3ms on CPU ➖Multi-GPU scaling: ~500 encrypted 64-bit ops/sec on 8×H100s ➖100x faster than their own launch performance 🛠️ TFHE-rs engine: Their Rust library now handles unlimited computation depth with cryptographic guarantees. 🖥️ CPU → GPU → HPU → custom ASIC chips in development. They're building the entire stack from algorithms to silicon ➖Developer reality: 5,000+ developers already building with their tools ➖Solidity integration means you can write encrypted smart contracts They took technology that was 1,000,000x too slow and made it blockchain-ready. #ZamaCreatorProgram

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Zama @zama_fhe Reaches $1B Valuation as First Fully Homomorphic Encryption Company to Achieve Unicorn Status 🤔 What's FHE? Think of it like this: ➖Normal encryption = locking data in a safe ➖FHE = doing math INSIDE the locked safe without opening it ➖You can calculate, process, analyze - all while data stays encrypted 🔒 About Zama ➖$1B+ valuation | $150M+ funding 🔐 Revolutionary tech: Smart contracts that compute on ENCRYPTED data ➖Founded by crypto legends Dr. Pascal Paillier & Dr. Rand Hindi ➖Partnerships: OpenZeppelin & Conduit ➖Game changer: Finally solves blockchain's privacy problem without sacrificing decentralization or composability Institutions can now use public blockchains while keeping transactions confidential ⚡ The tech: Fully Homomorphic Encryption lets you run calculations on encrypted data WITHOUT decrypting it first #ZamaCreatorProgram

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Four breakthrough moments that changed everything for blockchain privacy: 🔧 Engineering breakthrough: @zama_fhe made fully homomorphic encryption actually work at scale - we're talking 100x faster than anything before it. What used to be theoretical is now production-ready ➖Industry validation: Major players are betting big - @OpenZeppelin (who secure $218 billion in digital assets) and Conduit are building the infrastructure backbone with Zama. This isn't experimental anymore. ➖🌐 Universal compatibility: Works on any blockchain without forcing anyone to migrate or build new bridges. Ethereum, @0xPolygon , @arbitrum - the technology layers on top of whatever's already ther ➖Market reality check: The privacy-preserving computation space is valued at $4.4 billion today, projected to hit $26.9 billion by 2034. Finance, healthcare, and cloud computing are all driving this demand The infrastructure is ready, the partnerships are locked in, and the market demand is real. Privacy computing just went from "someday maybe" to "available now." #zamacreatorprogram

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GM now or your airdrop’s rugged—stack the streak or cry! 🪂💦 #GM #Gmfarcaster #GMonchain https://x.com/gmonchains

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TFHE-rs, @zama_fhe 's core Rust library, provides the foundational infrastructure for all FHE operations. The library supports: ➖Boolean and integer arithmetic operations on encrypted data up to 256-bit precision ➖Programmable bootstrapping for unlimited computation depth ➖Multi-platform compatibility across CPU, GPU, and specialized HPU hardwarewe ➖Client-side WASM API for browser-based encrypted applications #ZamaCreatorProgram

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