THE DOSSIER · GROWTH ANALYSIS
SNAPSHOT · 2026-05-17
Method

How this was built

One snapshot, eight agents, three rules: every metric traces to a file in data/, no quotes longer than 15 words, no fabricated numbers.

Pipeline

  1. Acquire. yt-dlp pulled per-video .info.json, auto-captions (.vtt), top 200 comments, thumbnails, and channel metadata.
  2. Normalize. A Python pass built data/videos/summary.jsonl — one line per video — with per-cohort view z-scores (long vs short separately), heuristic topic clusters, beat segmentation, and CTA detection.
  3. Analyze. Seven subagents ran in parallel against fixed slices of data/: algorithmic-positioning, content-forensics, hook-retention, seo-packaging, audience-community, brand-identity, niche-competitor.
  4. Sequence. An eighth agent, growth-experiments, read all seven reports and ranked twelve experiments by leverage × ease.
  5. Synthesize. The orchestrator merged everything into the 90-day roadmap on Synthesis.

Hard rules followed

Known limits

What this is not

Source data acquired via yt-dlp. Channel under analysis: @thedossier_in · Snapshot date: 2026-05-17 · 60 of 80 videos sampled (YouTube bot challenge blocked the remainder). Every metric traces back to a file in data/.