Grass has completed the testing phase and is preparing for the Airdrop Snapshot.

Grass recently announced that its closed testing phase has ended and has begun taking snapshots to determine eligibility for the upcoming airdrop. User participation in the network will be used as the benchmark for receiving rewards, specifically weighted according to epochs.

In the coming weeks, the team will release a detailed Airdrop eligibility checklist and provide more information on tokenomics. The next phase of Grass's development will shift from building core infrastructure to supporting large-scale development, focusing on creating applications that combine user interests with network functionalities.

It is reported that Grass has reached a user base of 2 million. As a decentralized network, Grass aims to provide the data needed for AI model training by accessing public networks. This makes Grass a key component of the AI data layer as it expands into the process of cleaning and preparing structured datasets, establishing an important position in the field of AI.

Financing and Technical Background

The team behind Grass, Wynd Network, has completed a $3.5 million seed round funding, bringing the total funding to $4.5 million with previous financing. This funding will be used to enhance Grass's technical infrastructure, expand the node network, and improve the data validation process.

Grass is a decentralized bandwidth market where users can sell their idle internet connections to help AI laboratories acquire the network data needed for training models. The entire process guarantees the privacy and data security of users. The core technology of Grass, Socrates, excels at collecting unstructured data from the internet and structuring it, making Grass an AI data repository that provides training data for other AI systems.

As the first project combining AI, DePIN, and Solana technology deployed on Solana, Grass is positioned as the data layer for AI. In the integration of AI and Web3, data and computing resources together constitute the key resources for AI competition. Grass has established a distributed crawler network with over 2 million nodes, demonstrating the enormous potential of economic incentives in attracting valuable resources.

Market Potential

Grass is built on Solana, leveraging Solana's high throughput advantages. To effectively handle large amounts of data, Grass has developed a rollup system using ZK processors for batch processing of provenance proofs and publishing them to Solana.

Compared to centralized residential agency providers, Grass's Web3 approach has multiple advantages, including a fairer distribution of AI-generated value and cost savings for payment app developers. Currently, Grass has 2.2 million independent users, and it is expected that more users will join after the Token Generation Event (TGE).

Other market advantages of Grass include:

• Nodes are widely distributed, covering more than 190 countries.
• Strong technical foundation, processing 1 million network requests per second
• Long-term project lifecycle and robust product roadmap
• Reliable investment support
• Low user participation threshold

Grass not only supports the training of traditional AI but also promotes the development of decentralized and open-source AI by creating alternative ways to access network data. This helps prevent a few companies from monopolizing AI development, allowing everyone fair access to public network data.

Conclusion

Grass is committed to correcting the mistakes of the Web 2.0 era and promoting the development of Web 3 values. By participating in Grass, users can not only earn rewards but also contribute to creating a more equitable and just world. Grass's innovation and unique positioning give it an important place in the AI and Web3 fields, with the potential to become a leader in this area.