KAIO is about to迎来TGE, but can the data really support the expectations?
According to Root Data, KAIO's performance over the past year has been quite good—the growth indicators and heat score show a continuous upward trend, indicating that market attention is gradually heating up. However, the most intuitive metric is still the fundraising data: a financing scale of $11M reflects the investors' recognition of the project.
But the question is, can a promising growth curve translate into actual platform usage and ecosystem activity? Good-looking data before TGE doesn't necessarily mean the hype can be maintained after launch. It is worth continuing to observe whether KAIO's actual application scenarios are sufficiently essential and whether user retention rates can exceed the industry average in the same track.
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Rugman_Walking
· 3h ago
11M funding is indeed impressive, but I care more about how long it can survive after TGE—that's the real skill.
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To put it simply, anyone can create impressive data; the key is whether the retention rate can hold up.
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Rising popularity ≠ genuine user engagement. I am optimistic about KAIO but also prepared for possible disappointment.
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Investors are betting big, but with so many tracks, why should KAIO stand out?
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Good data can only be confirmed after TGE; it's too early to draw conclusions now.
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Spending $11M on projects that end up abandoned is common; what makes KAIO different?
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The only true path is in essential use cases; otherwise, it's just a game of pass-the-parcel.
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ShitcoinArbitrageur
· 22h ago
11M funding sounds good, but can it hold up after launch? As long as the data looks good, that's all that matters.
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Another story of data exploding before TGE and cooling off after launch—tired of the same old plot.
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As for the essential use cases, honestly, I don't see anything particularly special about KAIO.
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Retention rate is the best indicator of true performance. We'll see the results in time.
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Funding party’s approval ≠ market approval. Don’t confuse the two.
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Let’s talk again after a month of TGE; right now, it’s all just stories.
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Curiosity is through the roof. Wondering how long this can last without cooling off.
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OnchainFortuneTeller
· 01-11 15:55
Funding looks good, but whether it truly launches successfully still depends on retention... We've seen this kind of tactic too many times in previous years.
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GraphGuru
· 01-11 15:48
They all look good before TGE, but the key is whether they can retain users after launch. I bet it will cool off like most projects.
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LiquidityHunter
· 01-11 15:47
11M in funding sounds sexy, but what are the real use cases? That's the key.
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No matter how loud the hype before TGE, there are many projects that drop the ball after launch.
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Good data ≠ a good product; how many lessons does it take to understand this?
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Recognition from investors ≠ user acceptance; retention rate is the true litmus test.
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I’m already tired of seeing beautiful growth curves.
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Wait, what exactly is KAIO’s actual use case? I haven’t seen it clearly.
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11M is okay, but with such a competitive track, what can really stand out?
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The three months after TGE are the real test period.
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Another funding story, but what about ecosystem activity?
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Honestly, I’m not very interested in the "average level in the same track" comparison.
KAIO is about to迎来TGE, but can the data really support the expectations?
According to Root Data, KAIO's performance over the past year has been quite good—the growth indicators and heat score show a continuous upward trend, indicating that market attention is gradually heating up. However, the most intuitive metric is still the fundraising data: a financing scale of $11M reflects the investors' recognition of the project.
But the question is, can a promising growth curve translate into actual platform usage and ecosystem activity? Good-looking data before TGE doesn't necessarily mean the hype can be maintained after launch. It is worth continuing to observe whether KAIO's actual application scenarios are sufficiently essential and whether user retention rates can exceed the industry average in the same track.