"In the past seven days, a protocol quietly lost 40% of its liquidity providers while everyone was busy counting the latest funding rounds." This was a screenshot I took from my Dune dashboard in 2024, a moment where data told a story that no one was paying attention to.
It made me reflect on how we, as an industry, have become obsessed with analytical grandeur. We have frameworks that break down technology, tokenomics, and markets into neat little boxes—but when the input field is blank, the output is gibberish. This isn't just a technical glitch; it's a symptom of a deeper narrative disease.
This brings us to the Vòng đời của một ảo tưởng: từ "khung phân tích toàn diện" đến "dữ liệu trống rỗng". I've seen this cycle before. In DeFi Summer, everyone had a yield farming calculator. In 2022, everyone had a risk matrix for FTX. Yet when the market went sideways, the charts became quiet, and the analysts ran out of things to say. Why? Because the framework itself has a lifecycle. It is born from a specific narrative context — a bull run, a hype cycle — and it dies when the context shifts.
Take the "blank analysis" from my recent experiment. It came from a user who input nothing. The framework dutifully output "insufficient information" for every single category: technical, tokenomics, market, ecosystem, regulation, team, risk, narrative, and industry chain. It was technically perfect and utterly useless. This is the core mechanism: we have optimized for the form of analysis, not the substance. We ask for a "first stage" of information points, but we forget that the act of collecting those points is itself a narrative skill, not a mechanical one.
The real insight is not in the framework, but in the moment the framework fails. When the input is blank, we are forced to confront a crucial question: why is there no data? Is the project so early that no one has collected it? Or is it so dead that everyone has stopped caring? The framework cannot tell us this. But a narrative hunter can. I learned this in 2018, when I lost into an ICO that promised the "first DeFi" but delivered nothing. I didn't have a risk matrix for that one; I had a gut feeling that the community's excitement was built on a story of getting rich quick, not on a story of building something lasting. — Root: Thất bại với ICO
A contrarian angle emerges here: perhaps our industry is over-invested in frameworks that create the illusion of work. We spend hours filling out tables and rating risks, but we avoid the harder task of actually talking to the developers, understanding the coders' culture, and sensing the market's unspoken anxieties. Tôi không tin vào khung phân tích, tôi tin vào người kể chuyện đi trước.
I saw this trong DeFi Summer và phát hiện ra that the best farmers weren't the ones with the best spreadsheets. They were the ones who spent weeks in Telegram groups, watching how the community reacted to a code merge or a governance proposal. They were the ones who understood that YFI survived not because of its tokenomics, but because its community had a narrative of resistance against the VCs. The framework could tell you the token supply; it couldn't tell you the emotional supply.
So, where does this leave us? If we are in a sideways market, we have two choices. We can keep polishing our analytical frameworks, making them more elaborate, more comprehensive, and more detached from reality. Or we can admit that the framework is not the map; it's the mirror. It reflects what we choose to input. If we input nothing, we get nothing back. The real work is not in the analysis itself, but in the hunting of the story that fills the blank fields.
The next narrative is not in the data. It is in the community chat, in the developer's commit message, in the silence after a failed proposal. The framework can wait. The hunt cannot.
— Root: Phát hiện sớm