Facts about @irys_xyz that people are sleeping on
➔ The team literally built their own Kaito leaderboard before any Yaps rewards were announced
➔ 500M+ unique active addresses | 150+ TB institutional data | 80+ ecosystem projects
➔ Backed by @hiFramework → the same guys with killer AI plays
➔ Beats legacy storage leaders on C-end cost/speed + B-end scalability/integration
➔ Global top 7 all EN The Chinese-speaking region should wake up
1️⃣ Why did I write an article about @irys_xyz a few days ago without any announcement of Yaps rewards from the official team?
I didn't communicate with the team, nor did I have any insider information.
Just one point is enough: very few projects create a Kaito leaderboard to showcase some data.
Since they made such a leaderboard, what is the purpose? Just to kill time?
Definitely not. That means the team invested time and resources to create this leaderboard, which will have significant use later.
However, it seems that very few people in the Chinese-speaking community have noticed this issue:
Because currently, not many people in the Chinese-speaking community are participating, I wrote an article and directly entered the monthly leaderboard at over 30th place (global ranking).
2️⃣ Of course, the above is just one reason for my participation, there’s also the investment from @hiFramework, as this institution has a forward-looking approach in AI layout. I have compiled all the AI projects invested by this institution.
You can see that this institution has a deep understanding of AI research, and the projects they are laying out are quite good.
Many of the AI projects they invest in are strong in technology, product, and operations, with high market expectations.
3️⃣ Let’s put technology aside for now. Since it’s a data chain, there can only be data to indicate the strength of the entire project.
As a Layer 1, looking at the ecosystem, there are currently over 80, which is quite good.
Secondly, looking at on-chain users, there are currently over 5 million unique active addresses.
Thirdly, looking at the data: over 150 TB of institutional data.
From product foundation to B-end + C-end.
As a foundational Layer 1, I have a feeling that it could be the leading AI public chain in the future.
In 2025, the three major AI Layer 1s: Irys, 0G, Sahara.
(The other two have market caps over 1 billion.)
4️⃣ Let’s do a vertical comparison here, directly comparing the top storage projects, everyone can take a look.
My comparison isn’t with those that are hard to understand; I mainly compare some quantifiable content, such as storage costs, retrieval efficiency, etc. You can see the images directly.
In terms of cost, speed, and permanence for C-end users, it is leading.
For B-end users, scalability, integration, and use cases are also better.
Of course, I’m not making this chart to criticize the "big brothers"; it’s because of the evolution of the times, and market demands are changing.
The big brothers pioneered this track and made many innovations, but the waves behind drive the waves in front.
In this track, Irys indeed has more new innovations and a higher probability of gaining users and seizing the market. Let’s be realistic.
5️⃣ I won’t talk about technology since I don’t understand it; I’ll leave it to those who do.
Many thoughts and conclusions are already laid out above; everyone can take a look.
The last point is also a core idea I participated in.
➡️ Currently, all of the top 7 in this project globally are Americans.
Honestly, I’m a bit upset; how can we be led by Americans?
My Chinese-speaking community is the best; my Eastern dragon is the strongest.
I set an alarm and a goal, and I’m determined to focus on the "English-speaking area" every day.

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