Value Chain: from demand theory to user value
We do not just answer "what is rising now". We answer "where is the next demand, when will it emerge, where is the gap, what should I do" — and every judgment is scored against reality afterwards.
The five-layer value chain
L1 · TheoryDemand measurement / forecasting / decision value — a falsifiable disciplinary framework
L2 · AssetsRanking data, domain knowledge, forecasting models, demand-observation channels
L3 · ProductsTrend Radar / Forecast Board / Wish Pool / AI Assistant
L4 · User valueLess research time, gap discovery, lower project-failure risk
L5 · RevenueAds → Subscription → API/data → Knowledge products
Products, capabilities and value
| Product | Question it answers | User value | Tier |
|---|---|---|---|
| Trend Radar (/) | What is rising now? | Fast heat and opportunity triage | Free |
| Forecast Board (/forecast) | Which domain will AI deeply transform next? | Direction and bottleneck diagnosis | Free |
| Wish Pool (/wishpool) | Is my need met? Where is the gap? | Need–supply matching and gap evidence | Free |
| AI Assistant (/chat) | How should I read the current model state? | Personalized analysis efficiency | Free |
| Watchlist alerts / weekly report (planned) | When is a new object born, and how does its curve go? | Lead time: one step ahead of the market | Pro |
| Historical data export / deep reports (planned) | Full evidence chain for trends and forecasts? | Research and decision material | Pro |
Why trust this
- Register-then-score: every prediction is registered first, then scored by real events; nothing is edited after the fact.
- Evidence grades: conclusions are labeled S/M/W/X; speculation is never presented as conclusion.
- Data-driven calibration: ranking and wish-pool data calibrate the models instead of merely repeating popularity.
- Open methodology: the full discipline is published at /discipline.
Data flywheel
Your wishes in the pool become demand data → they calibrate measurement and forecasting →
matching and prediction get more accurate → more users benefit. This direct demand-observation channel
is what classic ranking sites do not have.