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The story of the AI data stack has been especially popular lately, but there aren't many projects truly worth betting on. I've recently been researching Walrus Protocol, and the more I look at it, the more I feel it has potential.
How to judge if a project is reliable? I look at three dimensions.
**Is the track big enough?** — The AI data market has trillion-dollar potential, no doubt about that. The problem is that the current infrastructure is a mess. Walrus is focusing on the "developer platform" niche, which is a pretty accurate positioning, not just blindly riding the hot trend.
**Does it have technological barriers?** — This is key. Walrus isn't just about storage; its "programmable access control" is the core competitive advantage. In simple terms, it solves the two big questions of how data is used and how it is monetized. Just from this aspect, its technical content is much higher than that of pure storage protocols.
**Is the implementation reliable?** — The mainnet is already live, with a funding amount of $140 million, led by Mysten Labs. Even more impressive is that it has already partnered with some revenue-generating companies, such as Alkimi, a platform processing over 25 million ad data entries daily. This indicates that there is indeed market demand for the product.
Of course, don't get carried away. The speed of cross-chain expansion and the actual adoption by developers are two risk points that do exist. But from the perspective of the data value chain, the potential of infrastructure projects like Walrus is still significant.