Walrus will intensify its vulnerability bounty program at the end of January 2026, offering a maximum reward of $100,000. The program invites global security researchers and tech experts to identify platform vulnerabilities. This initiative will be fully implemented on the HackenProof platform. Whether it's logical issues in smart contracts, technical vulnerabilities in core protocols, or economic incentive mechanisms of the platform, as long as a real and effective verification solution can be provided, corresponding rewards can be obtained. Furthermore, vulnerabilities related to the platform's economic model and data security will be prioritized for review. This move not only provides strong security for the platform but also demonstrates Walrus's commitment to technology and steady ecosystem development, increasing community users' confidence in the platform's security.

And this is just one aspect of Walrus's positive developments at the beginning of the year. From early January to now, this decentralized storage project based on the Sui chain has had new actions almost every week, whether in financing, products, or ecological cooperation, all of which are hard currencies. On January 8, the Walrus Foundation completed a private financing of $140 million, led by Standard Crypto, with top institutions like a16z and Electric Capital also participating, bringing the valuation directly to $2 billion. The funds raised will be used entirely for protocol expansion and application development, and with backing from top-tier capital, the confidence for future development is significantly enhanced.

The product side has also welcomed a major update, launching the Quilt batch storage solution on January 30, which completely addresses the pain points of small file storage. Previously, storing NFTs, images, and small AI data files either had high costs or complicated operations. Now with Quilt, hundreds of small files can be packaged for storage, reducing the storage cost of 10KB small files by 420 times, saving a significant amount on Gas fees. Furthermore, each file can be accessed individually without unpacking, making it particularly convenient for both developers working on projects and ordinary users storing data. Many NFT and AI projects have already adopted this solution, and the feedback has been very positive.#Walrus

Ecological cooperation here is blossoming, with several important partnerships announced in late January. First, a deep integration was achieved with Pipe Network, where their 280,000 global nodes directly became Walrus's content distribution layer. Regardless of location, the latency for data read and write can be controlled within 50 milliseconds, completely solving the geographical bottleneck of traditional storage. Following that, a partnership was formed with AI video platform Everlyn, becoming their default data layer. Not only will it store Everlyn's existing 5,000+ user videos, but it will also migrate their AI training dataset from a centralized cloud platform, significantly reducing the storage costs for AI projects. In addition, over a dozen well-known projects such as Pudgy Penguins and Itheum are gradually joining the Walrus ecosystem, making the platform's application scenarios increasingly rich.$WAL

Currently, the number of Walrus nodes has surpassed a hundred, and the community has launched the Learn to Earn incentive program, allowing ordinary people to earn WAL tokens after completing the platform's technical courses. There is also a 300,000 WAL CreatorPad ecosystem support plan, attracting a large number of developers to settle in. Moreover, the official announcement has made it clear that 10% of the tokens will be allocated for community airdrops. Combined with the platform's deflationary destruction mechanism, the long-term value of holding WAL is further guaranteed. From top-tier financing to product landing, and then to ecological expansion, Walrus's operations at the beginning of the year have maximized the advantages of decentralized storage, and the subsequent development is worth looking forward to.