Today, we're excited to officially launch 10X Founders Demo Day v2.0, hosted by @InspiraLabsHQ, @Yellow and @cicada_mm @SonicLabs joins 10X Founders Demo Day v2.0 as our Anchor Partner. More than supporting the initiative with its extensive ecosystem, Sonic Labs is putting real capital behind founders, helping turn promising projects into high-growth companies This time, we're honored to commence this occasion with seven co-hosts standing with us: @injective, @1inch, @CointelegraphAc, @Galxe, @Cryptic_Web3, @hackenclub and @AtlasOracleX - backed by CMC Last but not least, we're thrilled to have @BitcoinNews, @CoinMarketCap, @CryptoRank_io, @Cointelegraph, @incrypted and @Assemble_io on board as our media partners, helping bring the stories of the next generation of builders to a global audience $150K+ in the prize pool: ecosystem grants and investments, acceleration, GTM support, SDK and advisory access, market making, audit credits, and media exposure. We've assembled the resources founders need to build, launch and scale This is the lineup we've been building toward If you've got something worth showing, August 25 is your day 🔗 Apply now →

Introducing Velvet-1: AI Model for Onchain Intelligence Today, we are commencing training for Velvet-1, our first flagship LLM for onchain intelligence. Onchain analytics is lagging behind coding and general knowledge reasoning capabilities. For truly effective onchain analytics, LLMs need to be constantly online: monitoring, detecting, and understanding data that is deeply interconnected. This must happen in real time, amidst high-velocity change. General-purpose models can reason about crypto, markets, and protocols in isolation, but they struggle to understand the full context of onchain & social systems. Their context windows and memory were designed and trained to work with static code and text data, not with onchain and social dynamics. We have developed new types of layers, context, and training techniques to handle these problems. The model is being developed on large-scale, continuously indexed datasets spanning: - Full onchain activity across major networks, including transactions, smart contract events, state changes, and mempool signals - Hyperliquid-specific market data, including perpetual orderbooks, funding rates, liquidations, trader positioning, and flow dynamics - Social and behavioral signals, including onchain and offchain graphs, wallet clustering, and profile embeddings Over the coming months, we will share technical updates, evaluation benchmarks, infrastructure notes, and early capability results as Velvet-1 progresses. Velvet-1 is our first step toward by-design on-chain intelligence.