See what's bending. Months early.
Every big trend leaves a trail in public data before it goes mainstream — search velocity, hiring posts, GitHub stars, Reddit growth, app downloads, government datasets. Wire Chamber pipes those signals through a multi-method detection engine and tells you when a curve has bent.
Detection methods
- STL decomposition + ruptures change-point detection
- EWMA z-score for short-window anomalies
- Bass diffusion S-curve fit and regime classification
- Granger causality matrix across correlated series
- Semantic clustering with BGE-M3 + DBSCAN
- DoWhy causal explanation on confirmed signals
- TimesFM forecast on demand
Data sources
All free, all public. See the full adapter manifest in the repo.
- Reddit, Hacker News, Bluesky, Product Hunt
- GitHub topic search (repos + stars)
- FRED, BLS, Census, World Bank, OWID
- Google Trends, Wikipedia pageviews
- Amazon Movers & Shakers / Hot New Releases
- YouTube Search (videos + views)
Stack
- Polars + DuckDB analytical hot store
- Parquet on Cloudflare R2 (cold)
- In-process EventBus → SSE / WebSocket fan-out
- FastAPI for the read API
- Next.js 15 + React 19 + Mantine + Tremor + Perspective.js
- Optional: Modal Labs for on-demand TimesFM inference
Privacy & access
- No tracking pixels, no third-party scripts.
- No client-side secrets, no personal data handled.
- The public Trends Wall is anonymized and cache-friendly.
- WCAG 2.2 AA target across the dashboard.
Apache 2.0 source on GitHub.