Grass, an AI-focused DePIN web crawling project, has officially concluded its closed beta and provided an initial framework for its upcoming airdrop. According to the team, eligibility for token rewards will be determined primarily by weighted network participation across epochs, while fuller details on tokenomics and final distribution mechanics will be shared at a later date.
Closed beta ends as the project moves forward
The team described the end of the closed beta as a pivotal moment for the project. Grass is building a decentralized physical infrastructure network designed to address issues such as data poisoning in large language model training. Its model relies on users contributing internet bandwidth and computing resources by running crawling nodes, creating a decentralized data collection network at scale. With the beta phase now complete, the project says it will gradually shift from building core infrastructure to supporting applications aligned with user and network incentives.
Airdrop to rely on snapshots and epoch weighting
For users focused on rewards, Grass confirmed that a snapshot will be taken and that distribution will be based on weighted participation during each epoch. So far, the network has completed seven epochs, with each epoch lasting one month. That suggests long-term and consistent contribution may matter more than simple account creation or short-lived activity. However, the project has not yet disclosed the exact token allocation, distribution ratios, or launch timeline for the airdrop.
Grass also opened a new bonus epoch, giving users an additional window to increase activity before rewards are distributed. The team added that payouts will be handled through Solana wallets linked to user accounts, making wallet setup an important step for participants expecting to claim rewards.
Next phase may expand into applications
Beyond the airdrop, Grass signaled a broader strategic transition. The next stage of development will focus less on core network construction and more on enabling applications that can scale while aligning incentives between users and the network. That language suggests the project may eventually support third-party applications that leverage a large node network to provide data services for organizations training AI systems.
Overall, the announcement delivers two clear messages: Grass has completed a major early phase of development, and its airdrop is expected to favor measurable contribution over passive participation. As the team releases more information on tokenomics and distribution, market attention around the project is likely to remain elevated.