Recently studied the development direction of SEI in 2025, planning to use AI for visualization to make the project's key progress clearer.
SEI's core competitiveness mainly focuses on four areas: first, iterative upgrades of on-chain technology; second, deep cooperation with major exchanges; third, strategic layout in stablecoins and RWA tracks; fourth, accelerated user growth.
While actually creating the visualization, I encountered many pitfalls—such as how to intuitively display ecosystem complexity with charts, how to highlight the relationships between different sectors, and how to select data dimensions to avoid information overload. In the end, I found that simplifying the logical chain, ranking information by importance, along with reasonable color schemes and hierarchical design, can make the overall layout of the SEI ecosystem quite clear.
If you also want to use AI for project analysis visualization, this approach is worth referencing.
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RugResistant
· 01-05 23:22
analyzed the methodology here and ngl, the data weighting approach needs more scrutiny before trusting those visualizations. did you actually verify the exchange partnership claims independently or just visualized what sei's saying? common red flag when projects tout "deep collaborations" without concrete transaction metrics.
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GweiWatcher
· 01-04 23:10
The combination of these four sectors in SEI is quite interesting, and the exchange cooperation part is probably the most crucial.
The simultaneous advancement of stablecoins and RWA is a clever move.
The visualization part is indeed prone to pitfalls; too much data can make it hard to see clearly, and your approach is correct.
How are the weights distributed among the four sectors? The exchange cooperation should have the highest proportion, right?
Is the human growth trend aligned with the data from SUI?
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GateUser-75ee51e7
· 01-03 07:49
SEI these four sectors do seem to have some substance, but is the exchange partnership part a bit questionable?
Are stablecoins and RWA really the next big trend? It feels like everyone is just hyping it up.
The visualization approach is pretty good, but can you actually run it in practice?
I've also experienced the pain of information overload, and it's definitely necessary to cut down on redundancy.
Among the four sectors, which one is the most worth focusing on?
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CryptoMotivator
· 01-03 07:46
SEI's four sectors, the partnership with exchanges is really the lifeline, right?
AI visualization can indeed clarify complex things, but the key still depends on whether the data itself is solid enough.
Simplifying logic sounds easy, but in practice, it's a blood-sweat lesson.
Using weight ranking is brilliant; don't just pile up data, then half the people can understand it.
How is SEI's layout in the RWA track? Can it compare to Solana?
Making visualization look good is one thing; attracting capital is the real key.
This approach is indeed worth considering, but whether SEI can really take off depends on the market sentiment.
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BearMarketBarber
· 01-03 07:44
SEI's four sectors look quite solid, but I'm a bit worried about the RWA part. Can it really be implemented?
Using AI for visualization definitely saves effort, but the data has to be reliable. You know, garbage in, garbage out.
Simplifying the logic is a good move; otherwise, users won't understand even the most complex ecosystems.
Once SEI rises, exchange collaborations will definitely follow; conversely, it’s not always the case.
Getting the color scheme and hierarchy right makes it easy for people to grasp the main points at a glance. Learned that.
Hearing you say that, I feel SEI really has potential this year.
RWA is being hyped up a lot, but who really knows how to use it?
AI visualization is just okay; the key is that the data must be authentic.
How is the depth of exchange collaborations defined? Is there a standard for that?
Fast user growth doesn't necessarily mean high retention. Don't be fooled by inflated numbers.
Can SEI beat the three giants in stablecoins? I don't have confidence in that.
Intuitive display is indeed important, but being too flashy can backfire and annoy people.
This approach is also applicable to analyzing other projects, right?
The problem of information overload definitely exists; I've read too many messy reports.
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gaslight_gasfeez
· 01-03 07:32
These four sectors of SEI are actually the most promising for exchange collaborations; the others mostly seem like hype.
Recently studied the development direction of SEI in 2025, planning to use AI for visualization to make the project's key progress clearer.
SEI's core competitiveness mainly focuses on four areas: first, iterative upgrades of on-chain technology; second, deep cooperation with major exchanges; third, strategic layout in stablecoins and RWA tracks; fourth, accelerated user growth.
While actually creating the visualization, I encountered many pitfalls—such as how to intuitively display ecosystem complexity with charts, how to highlight the relationships between different sectors, and how to select data dimensions to avoid information overload. In the end, I found that simplifying the logical chain, ranking information by importance, along with reasonable color schemes and hierarchical design, can make the overall layout of the SEI ecosystem quite clear.
If you also want to use AI for project analysis visualization, this approach is worth referencing.