Little Gold Bean has been digging for potential Airdrop projects and has seen the potential stock @irys_xyz. 😍

We are working on a vertical track to create the first programmable Layer-1 data public chain!

Strong financing background, strong products, and multiple participation methods, it's still a clear Airdrop. The cycle is not long, and you can quickly reap rewards.

The key point is that you can earn without any investment and receive Airdrop, whether by completing tasks or writing, there are opportunities for Airdrop.💰

There is still an opportunity for Airdrop participation, and both ordinary players and creators can join in.

Ordinary players: It is recommended to participate in the testnet and galaxy missions🪙
Participation link:
After completing the task, you need to authenticate on the @Galxe platform to receive points.

Creator: Suggest to participate in @KaitoAI and #Starboard:
After binding these two platforms to Twitter, you can create and share IRYS-related content on X, and continue to share to enter the leaderboard. There is a high probability of receiving more Airdrop allocations, but the specific allocations have not yet been announced.

Galxe Starboard address:

The above is the best way to participate in IRYS at the moment, and the probability of receiving an Airdrop allocation is very high.

The reason Xiaojindou is optimistic about Irys is that it targets the data storage and execution needs in the AI and Web3 fields. The innovation lies in transforming data from static storage into programmable assets!
Moreover, it allows developers to directly embed instructions in the data, enabling automated trading, AI workflows, and other functionalities.

IRYS has also made several innovations in its technical architecture:
The hybrid consensus mechanism ensures performance, EVM compatibility lowers migration barriers, and the seamless integration of storage and execution layers.
The most attractive aspect is its pricing model, which is cheaper than traditional cloud storage and existing Web3 solutions, and the costs are stable, making it very developer-friendly.

There are many application scenarios: such as AI training data storage, IP copyright management, and real-time data processing for gaming social applications.

The team background is also good, coming from Bundlr, and they previously increased the daily transaction volume of Arweave from 10,000 to 15 million, proving their real capability in scalability.

A total of 8.7 million dollars has been raised in two rounds, with top institutions like Framework and Hypersphere investing, and the community is very active.

Overall, @cn_irys_xyz has addressed several key pain points of the Web3 data layer: high costs, limited functionality, and poor scalability.
If executed properly, it could indeed become the infrastructure for AI and Web3. Those who haven't participated yet should remember to get involved.