Know what users will need next โ and prove it.
newsongbird.com is a public laboratory for Demand Statistics & Forecasting (DSF):
a new discipline for measuring latent demand, predicting where it will emerge, and scoring every
prediction against what actually happens.
๐ MeasureTurn digital exhaust โ rankings, searches, wishes โ into calibrated proxies of latent demand, with explicit bias and censoring corrections.
๐ฎ ForecastProbabilistic, falsifiable predictions about which domains, apps, and capabilities get adopted next โ registered before the outcome.
โ
VerifyEvery forecast is scored against reality (hit@k, calibration). Evidence is graded S/M/W/X; speculation is never sold as conclusion.
Products (public, free)
| Product | Question it answers | Value |
|---|---|---|
| Trend Radar | What is rising right now, on Steam and the App Store? | Fast heat and opportunity triage for developers |
| Forecast Board | Which domain will AI deeply transform next? | Direction and bottleneck diagnosis for building decisions |
| Wish Pool | Is my need already met? Where is the gap? | Needโsupply matching and gap evidence |
| Value Chain (EN) | How does theory turn into user value and revenue? | The full vertical link, transparent and auditable |
| Pro Subscription | When will a watched domain emerge, and where is the gap? | Lead time: alerts + weekly demand report |
Language note: product interfaces are currently in Chinese; this English
explainer covers the value chain and the discipline. English product UI is on the roadmap โ
international traffic is what makes the site sustainable.
Why trust the data
- Register-then-score: predictions are registered first, then scored by real events. No post-hoc edits.
- Evidence grades: conclusions carry S/M/W/X strength labels; weak evidence is labeled, not hidden.
- Calibration loop: ranking data and wish-pool data calibrate the models instead of merely echoing popularity.
- Open methodology: the whole discipline is published under /discipline.