Zoge got to know the partner @irys_xyz through participating in @wardenprotocol and has discovered a lot of recent news.~
🔹 Raised $8.9 million
🔹 Mainnet expected to launch in the second half of 2025, token not yet issued
🔹 Testnet peak of 100,000 TPS, 6000 times faster than Filecoin, and 20 times lower cost
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Irys has specially created a TOP 1000 leaderboard and opened exclusive regional rankings.
It's easy to get on the list now without much competition.
Zoge previously only posted once and easily made it to the top 35 in the Chinese leaderboard / 642 globally.
Take advantage while the public hasn't noticed yet and secure your position!
📌 Leaderboard:
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The testnet interaction is now live, don't miss out.
Here’s the operation guide:
1️⃣ Claim test tokens from the faucet:
2️⃣ Game entry:
• Connect wallet (EVM)
• After depositing 0.1 IRYS test tokens, you can play "Snake"
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Summary:
Technical differentiation + token not yet issued + easy to get on the leaderboard.
Low positioning cost, high potential returns, definitely worth it!
📢 Don't forget to follow the Chinese official X: @cn_irys_xyz

Brothers, the interaction with IRYS @irys_xyz must be done every day. The official DC has revealed two important pieces of news.
▰ The mainnet is about to launch, and the official Twitter has also posted a hint video.
▰ New financing information will be disclosed soon.
Currently, Irys has raised $8.7 million, and after the new financing information is disclosed, it will definitely have a positive impact on the TGE. Let's look forward to it.
Irys is a data programmable Layer 1 blockchain. What does "data programmable" mean? Let's discuss this in detail today.
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★|Irys's data programmable network
Protocols like Filecoin and Arweave mainly do one thing—store data.
Irys can do that too, and it does it faster and at a lower cost. In addition, it comes with a native execution layer called IrysVM, which gives data "programmability." This means that data can not only be stored but also directly execute instructions, trigger contracts, and participate in economic activities on-chain.
On Irys, developers can write rules directly into the data itself. For example:
▰ An AI dataset is called once, and it automatically gives a share to the contributor.
▰ A piece of video content can only be unlocked for viewing if it meets on-chain conditions.
▰ Trigger transactions automatically when specific events occur.
Data is no longer a passive file but an active on-chain entity.
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On Irys, data can be called instantly and shared seamlessly between applications. For example:
▰ Risk data generated by one DeFi protocol can be directly used by another protocol to adjust interest rates.
▰ NFT materials from a blockchain game can be real-time modified by AI tools.
This "data sharing" forms a composable on-chain service network: any project can launch new features on Irys, and the entire ecosystem can integrate Irys's data layer, forming a common foundation for AI, IP, and consumer applications.
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In terms of performance, Irys allows on-chain data to run faster, cost less, and have more uses. Fast access speeds mean enhanced real-time capabilities, and low retrieval costs unlock many on-chain services that were previously unfeasible.
In terms of pricing, Irys is even cheaper than traditional cloud storage and most Web3 alternatives, and it adopts a stable pricing model, so there's no need to worry about cost overruns due to gas fluctuations. This is crucial for AI applications and large-scale consumer products that require massive amounts of data.
Irys's design is inherently suitable for scaling; the more data that comes in, the more on-chain services will emerge, and more services will attract more data, creating a positive feedback loop.
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Ecosystem cooperation can be seen as one of the important indicators of technological maturity. Currently, Irys has already partnered with multiple institutions, companies, and Dapps:
▰ Research institution SCAI has migrated 100TB of research data.
▰ Warden uses Irys as its memory infrastructure.
▰ Projects like Plena and Brickroad are also building their businesses based on Irys's data layer.
These cases demonstrate that Irys's application scenarios have expanded from simple storage to multiple fields such as research, finance, and AI, and it has the conditions for large-scale adoption.
★|In conclusion
When on-chain data transforms from static resources into programmable assets, it is no longer just a cost but a productive resource that can continuously generate cash flow. The value of Irys lies in integrating storage, computation, and composability into one network, allowing data to flow, be utilized, and generate income.
In the future, whether it's training data for AI models, real-time risk control for financial protocols, or on-chain authorization for large IPs, it may rely on Irys as this infrastructure.

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