Active Themes

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No themes yet

Themes appear after the trend pipeline runs.

Source-Class Coverage Heatmap

Rows = themes. Columns = source classes. High media, low primary = hype risk.

No heatmap data yet.

Source-Class Coverage

Items processed this week by source class. A balanced intake reduces single-source distortion.

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No source data yet

Run the pipeline to populate source coverage.

All Sources

Full source list with item counts, active days, and top themes.

Cross-Class Confirmation

A claim only reaches high-confidence when supported by ≥ 2 distinct source classes. Items from a single class are flagged as unverified.

Cross-class confirmation breakdown will appear here once data is available.

Key Insights

Derived from trend state, hype risk, and cross-source diversity. Signals backed by ≥ 2 source classes are marked confirmed.

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No insights yet

Insights appear once the pipeline has run and produced trend data.

Pipeline Log

Last build run: what was loaded, how much was AI-enriched, per-file breakdown.

No log data yet.

All Processed Items

Every item loaded from data/processed/. Filter by source or theme.

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About this system

Source triangulation: Items are classified into five source classes (primary, operator, practitioner, media, market) and scored on five credibility axes: proximity to the claim, incentive alignment, reproducibility, adoption signal, and time decay.

Hype detection: Items where language intensity is high but evidence density is low are flagged. They are not removed — they are labelled explicitly, because hype is itself a signal about what narratives are being amplified.

Trend states: Each theme is classified as emerging, scaling, mature, or declining based on volume velocity, cross-source diversity, and adoption proxies. A media-only spike does not qualify as a trend.

Sources: YouTube (practitioner), Hacker News (practitioner), Substack newsletters (media), RSS feeds (varies). arXiv, Hugging Face, and operator changelogs are added incrementally.