Harmony (ONE) Surge

Recent months have witnessed a wave of established blockchain projects migrating to new public chains, notably Base and Arbitrum, coupled with strategic pivots in their business models—essentially "re-starting" elsewhere. Examples include Sophon (moving from ZKsync to Base to cut $3M+ annual costs and focus on consumer apps), Moonbeam (shifting from Polkadot to Base to pursue decentralized AI), and Secret Network (planning a move from Cosmos to Arbitrum to explore privacy-AI integrations, though its token price plunged 30% post-announcement). A common thread is that these migrating projects are primarily layer-1 or layer-2 chains now seeking relevance in AI and real-world consumer applications. This trend highlights the relative stagnation of ecosystems like Polkadot and Cosmos, which are seeing significant outflows. However, the community remains skeptical about whether such chain-hopping truly enables a turnaround. Historical cases like y00ts NFTs (which moved from Solana to Polygon and back to Ethereum) and Synthetix (which retreated from a multi-chain strategy) show that migration often fails to deliver expected benefits and can add complexity. In today's more rational market, devoid of easy narrative or airdrop红利, simply changing chains is unlikely to be a silver bullet. For both migrating projects and destination chains, the real challenge lies not in attracting projects but in developing actual use cases that retain users.

The domestic embodied AI data industry has attracted nearly 100 players, with 70 focused on data collection and 27 on data infrastructure. In the past year, 15 independent embodied data service providers raised approximately 4.47 billion yuan. Despite this growth, the sector remains early-stage, fragmented, and faces significant challenges. Data collection methods are diverse, categorized into four main routes: teleoperation of real robots, human demonstration without a robot (using motion capture, exoskeletons, etc.), simulation synthesis, and distillation from internet videos. Most companies (43%) adopt hybrid approaches, combining multiple routes, as no single method can meet all training needs. Teleoperation alone is pursued by 31% of players, often by state-owned platforms and robot companies, while newer firms favor asset-light, no-hardware human demonstration. Independent data service providers now form the largest player group (40%), indicating the emergence of a distinct industry segment rather than just a subsidiary function for robot makers. Two-thirds of all players are "embodied-native" startups, while one-third are companies that pivoted from fields like AI data annotation, which are more prevalent in the data infrastructure layer. Current annual industry capacity is estimated at 1.6-1.8 million hours plus 70-80 million data points, with a short-term goal to increase this 15-20 fold within 1-3 years. Data collection factories are spread across 20 provinces in China, concentrated in the Yangtze River Delta, Beijing-Tianjin-Hebei, and Pearl River Delta regions. Financially, the 4.47 billion yuan raised in the past year pales compared to the 43.8 billion yuan raised by the broader embodied intelligence sector in just the first half of 2026, highlighting that data remains a less "sexy" bet for investors. The 15 funded independent providers show clear stratification: a top tier led by a unicorn (Lightwheel Intelligence, 3.1 billion yuan), a middle tier of 11 firms raising tens to hundreds of millions, and an early-stage tier of 3 companies. Sixty-nine investment institutions have participated, but none have made concentrated bets, reflecting uncertainty about viable business models. Over half of these funded companies are less than a year old, most are at pre-A or A rounds, and profitability remains largely unproven. In summary, the embodied data industry has become an independent track creating jobs and local economic activity. However, it is still nascent, with unformed consensus, unsolved problems, and unproven business models. The coming 1-2 years will be a critical validation window to see if companies can build sustainable, profitable businesses purely by "selling data."

Tokenized Equity Splits VC's One-Stop Financing Business The article explores how tokenizing company shares on the blockchain fundamentally reshapes the venture capital model. Traditionally, a VC's term sheet is a bundled service providing capital, valuation, curation/signaling, network access, governance, and implied follow-on funding. Tokenized equity, where shares are natively issued and registered on-chain, enables the unbundling of these services. Securitize exemplified this by listing on the NYSE while simultaneously issuing its native stock tokens on Solana and Avalanche. This creates continuous liquidity and price discovery, allowing startups to source services separately. Market-based platforms can handle funding and valuation; specialized service providers manage cap tables, token vesting, and programmable governance; and key individuals or smaller funds can offer brand credibility and network access. While this unbundling commoditizes transactional and administrative functions, core VC value persists in areas resistant to digitization: deep value judgment, strategic guidance, and using personal reputation to attract talent, customers, and future investors. Just as record labels survived by focusing on A&R (artist discovery) after music distribution was digitized, VCs will evolve to specialize in the nuanced, human-centric aspects of startup building. Founders gain the freedom to choose which services to source from the market versus which to obtain from trusted partners, fundamentally changing early-stage decision-making.

Derive (DRV) surged approximately 40% following news of its upcoming listing on the South Korean exchange Upbit, with trading in KRW, BTC, and USDT pairs set to begin on July 14th. The announcement triggered aggressive buying, raising the price from $0.1147 to a peak of $0.19, though it later settled near $0.1471. Market capitalization reached roughly $109.64 million, and 24-hour trading volume spiked by over 1744% to $9.38 million. Technical indicators like the RSI hitting 84.43 prompted early profit-taking, suggesting overheated momentum. The key challenge for DRV is to prove sustained demand beyond the initial listing hype. Maintaining support above $0.131 will be crucial to confirm continued buyer interest, while metrics like holder growth, stable volumes, and exchange flows will determine if the rally can evolve into a stronger, long-term market foundation or follow a typical post-listing reversal pattern.

QuickSwap, a leading decentralized exchange, has adopted Orbs' Perpetual Hub Ultra 2.0 as its default perpetual futures trading infrastructure across all supported chains. This decision followed a community governance vote, approved by 81.8% of QUICK token holders. The integration replaces the previous Orderly-powered system on Polygon PoS. Perpetual Hub Ultra 2.0 provides QuickSwap with a complete, self-contained perpetual futures stack running natively on Orbs' Layer-3 infrastructure. It includes execution, settlement, hedging, liquidation, pricing, and a professional trading interface. The platform leverages integrated liquidity from day one, eliminating the need for bootstrapping. It features a TEE-secured execution environment, on-chain state roots via rollup settlement, and cryptographically signed price feeds. Supported order types are comprehensive, and the platform offers one-click trading, account abstraction, and gasless transactions. QuickSwap, operational since 2020, is a top DEX in the Polygon ecosystem and also operates on Base. Orbs is a decentralized Layer-3 blockchain. Both teams assert this integration enables decentralized exchanges to compete with centralized platforms on execution quality, capital efficiency, and user experience while maintaining on-chain self-custody and transparency.