In an era where hot money and bubbles coexist, everyone needs to develop a keen eye for identifying talent.
After many years in the crypto space, I’ve seen too many projects go from "disrupting the industry" to "completely zeroing out." Every time someone shows me a beautifully crafted white paper and asks if I want to buy, I always respond with a question first: who exactly does this coin solve a problem for?
Today, I want to share a evaluation system I’ve developed through my own exploration. Honestly, it’s not some magical formula, but a practical guide to help you avoid pitfalls.
**My Three-Dimensional Validation Framework**
**Dimension One: Does the technology truly match the scenario?**
The biggest trap is here—being technically impressive doesn’t mean anyone will use it. I’ve seen too many projects boast about revolutionary technology, yet on-chain, there are no real users.
My approach is straightforward: compare technical indicators with the relevance to actual scenarios. Ask three specific questions:
Does this technology genuinely address a core need in a particular industry? For example, for a cross-border payment project, can transaction speed really surpass SWIFT? Are transaction fees significantly lower? If key metrics don’t outperform traditional solutions or similar competitors, then the application scenario itself should be approached with caution.
Let the on-chain data speak—don’t rely solely on project team’s hype. A game claiming tens of thousands of active users but only a few dozen daily transactions? That’s a red flag. Real transaction records on the chain are a hundred times more reliable than listening to fundraising news.
How is user retention? Many projects see a surge in new users, but monthly active users shrink. What does that indicate? No matter how flashy the technology, it can’t retain users. This suggests the scenario isn’t truly in demand.
**Dimension Two: Is the economic model self-consistent?**
Many projects’ token designs are like hot potato games—they can only make quick money, but the long-term logic doesn’t hold. Focus on three aspects: liquidity allocation, release cycle, and real demand-driven design.
If the majority of tokens are locked in the team’s hands, with private sales, advisor rounds, ecosystem funds, and so on, but only a tiny fraction reaches the market, then the price movements are just manipulated. Without real application support, price swings are meaningless.
The release schedule is even more critical. If all tokens are unlocked within three months, and the team and early investors dump simultaneously, retail investors are doomed. Promising projects will design a release cycle over three years or more, showing strong confidence from the team.
**Dimension Three: How to view the competitive landscape?**
Not every track is worth entering. Some sectors are already dominated by leading projects capturing most users; newcomers, no matter how strong, are just playing catch-up.
Ask yourself: what’s the real advantage of this new project over existing solutions? Is it 10% faster or 5% cheaper? That’s not enough. It needs a qualitative leap—for example, a paradigm shift from centralized to decentralized—to attract large-scale migration.
Check the ecosystem development. Are there genuine partnerships? Or is it all just hype in the white paper? Real application scenarios don’t rely solely on one project team’s efforts.
**Final words**
Using this framework, you’ll find that 99% of projects claiming to be "the next Ethereum" are unsubstantiated. It’s not that they’re all scams, but most lack real application scenarios to support them.
In the crypto market, what’s most valuable isn’t promises in white papers, but real on-chain transaction data, ongoing user engagement, and whether they can survive in a competitive environment.
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FloorSweeper
· 14h ago
honestly the whole "framework" thing is just onchain metrics that actually matter lol... everyone already knows this but keeps fomo-ing into garbage anyway
Reply0
ProveMyZK
· 14h ago
On-chain data doesn't lie, white papers are just scrap paper.
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Honestly, 99% of projects are just a facade for fundraising.
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Is monthly active users dropping? No matter how much you hype, it's useless. Just pass.
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I don't even look at projects with a release cycle of three months; that's just a blatant warning of a dump.
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Are all ecosystem partners written in white papers? Then I know how to play it.
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No matter how strong the technology is, without real users it's all nonsense. Too many people haven't figured this out yet.
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It's always the same cycle: fundraising, hype, dump, zero. When will this cycle ever stop?
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Is the SWIFT fee still 30% more expensive? Then there's no need to look further.
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The fastest way to evaluate a project is by looking at on-chain data; everything else is fake.
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The ability to judge people must be honed yourself; everyone's words don't count. Data speaks.
View OriginalReply0
metaverse_hermit
· 14h ago
It's the same old story. On-chain data is the real truth, while whitepapers are just fantasy literature.
In an era where hot money and bubbles coexist, everyone needs to develop a keen eye for identifying talent.
After many years in the crypto space, I’ve seen too many projects go from "disrupting the industry" to "completely zeroing out." Every time someone shows me a beautifully crafted white paper and asks if I want to buy, I always respond with a question first: who exactly does this coin solve a problem for?
Today, I want to share a evaluation system I’ve developed through my own exploration. Honestly, it’s not some magical formula, but a practical guide to help you avoid pitfalls.
**My Three-Dimensional Validation Framework**
**Dimension One: Does the technology truly match the scenario?**
The biggest trap is here—being technically impressive doesn’t mean anyone will use it. I’ve seen too many projects boast about revolutionary technology, yet on-chain, there are no real users.
My approach is straightforward: compare technical indicators with the relevance to actual scenarios. Ask three specific questions:
Does this technology genuinely address a core need in a particular industry? For example, for a cross-border payment project, can transaction speed really surpass SWIFT? Are transaction fees significantly lower? If key metrics don’t outperform traditional solutions or similar competitors, then the application scenario itself should be approached with caution.
Let the on-chain data speak—don’t rely solely on project team’s hype. A game claiming tens of thousands of active users but only a few dozen daily transactions? That’s a red flag. Real transaction records on the chain are a hundred times more reliable than listening to fundraising news.
How is user retention? Many projects see a surge in new users, but monthly active users shrink. What does that indicate? No matter how flashy the technology, it can’t retain users. This suggests the scenario isn’t truly in demand.
**Dimension Two: Is the economic model self-consistent?**
Many projects’ token designs are like hot potato games—they can only make quick money, but the long-term logic doesn’t hold. Focus on three aspects: liquidity allocation, release cycle, and real demand-driven design.
If the majority of tokens are locked in the team’s hands, with private sales, advisor rounds, ecosystem funds, and so on, but only a tiny fraction reaches the market, then the price movements are just manipulated. Without real application support, price swings are meaningless.
The release schedule is even more critical. If all tokens are unlocked within three months, and the team and early investors dump simultaneously, retail investors are doomed. Promising projects will design a release cycle over three years or more, showing strong confidence from the team.
**Dimension Three: How to view the competitive landscape?**
Not every track is worth entering. Some sectors are already dominated by leading projects capturing most users; newcomers, no matter how strong, are just playing catch-up.
Ask yourself: what’s the real advantage of this new project over existing solutions? Is it 10% faster or 5% cheaper? That’s not enough. It needs a qualitative leap—for example, a paradigm shift from centralized to decentralized—to attract large-scale migration.
Check the ecosystem development. Are there genuine partnerships? Or is it all just hype in the white paper? Real application scenarios don’t rely solely on one project team’s efforts.
**Final words**
Using this framework, you’ll find that 99% of projects claiming to be "the next Ethereum" are unsubstantiated. It’s not that they’re all scams, but most lack real application scenarios to support them.
In the crypto market, what’s most valuable isn’t promises in white papers, but real on-chain transaction data, ongoing user engagement, and whether they can survive in a competitive environment.