Tell an important industry observation The recent impressive market performance of AIA and RIVER shows that their upward logic is not without traces. After disassembly, it can be found that they have a highly consistent "profit paradigm": Investor: Waterdrill Capital appears on the list of investors. Track slots: one for AI (productivity) and one for stablecoins (payment base). Chip: It has a high concentration of chips and exhibits a clear "contract first" characteristic in its listing strategy. Following this logic, I discovered a new project that almost replicates the above features: @ dgrid_ai. 1、 Same genes The capital behind DGrid is not only Waterdrill Capital, but also CatcherVC. It is worth noting that CatcherVC was an early investor in AIA. The deep overlap of this capital often means that there is a mature and continuous strategy within the institution. On the track, DGrid focuses on AI decentralized inference networks, which is currently the direction closest to commercialization in the DeAI field. 2、 Commercializing AI capabilities If the current centralized AI (such as OpenAI) is compared to a "big supermarket" with strict barriers to entry, then DGrid is building a "global AI automated marketplace". Its mission is to transform AI capabilities from platform monopolies to standardized digital goods, thereby linking participants across the entire chain: Developer: No need to interface with dozens of complex AI platforms, using DGrid's single interface can call thousands of models worldwide, greatly reducing the integration threshold Creator: Excellent models or agents can directly reach global users, set their own prices, and completely bypass the profit margins of centralized platforms Hardware owner: By providing computing power to run tasks, DGAI tokens can be earned, converting idle resources into on chain profits To support this vision, DGrid has developed three core components: DGridRPC (Universal Adapter): Standardized JSON-RPC protocol makes calling network wide AI as simple as calling smart contracts Intelligent routing (optimal scheduling): Automatically screen the model resources with the lowest cost, fastest response, and best performance across the entire network for task matching PoQ Quality Proof (Security Guard): Based on the "black box" characteristics of AI, the results are verifiable and audited through the PoQ algorithm. If you don't do well, you won't get paid, ensuring the quality of service in a decentralized environment 3、 Conclusion In short, DGrid is committed to dismantling the high walls of AI giants and building a cheaper, more transparent, and more efficient exchange market. As for whether its future secondary market trend will replicate the performance of AIA and RIVER, it is highly anticipated in the face of this similar logic of capital and control. DGrid Genesis member purchase- https://premium.dgrid.ai/dgridpass?code=1AHWCE