This Week's Picks
Internal: Strong pillar match (sea-shanty) · comparable cohort: Wellerman, Hoist The Colours · expected retention 65%+
Audience: 14 fan-comment requests for more shanty content in last 30d
Risk: No flagged risks · n=6 comparables (directional confidence)
Internal: Original 2019 cover at 3M+ views · pillar = Halloween / theatrical
Audience: Nostalgic fan-base requests in YT comments
Risk: Re-cover risk — must differentiate from 2019 version
Internal: Disney-medley pillar adjacent · no anime/Ghibli cover yet — blue ocean
Audience: Non-trivial subset of comments asking for anime covers
Risk: Vocal arrangement complexity unknown — feasibility check needed
Catalog Intelligence
Live data from the VP YouTube channel via YT Data v3. Top of catalog shown — full table sortable in v0.5.
Format split
| Format | Videos | Total Views | Avg Views |
|---|
Top videos by view count
| Rank | Title | Released | Format | Views | Likes | Comments |
|---|
Trend Watch
Songs climbing in the wider music world that match VP's pillars. Blue-ocean alerts: low cover-saturation = opportunity.
📈 Drunken Sailor — TikTok use +60% w/w · only 12 acappella covers in 90d
Strong pillar match (sea-shanty). Low saturation = blue ocean. Likely candidate for next tent-pole window.
🌊 Studio Ghibli music corpus — TikTok velocity +120% w/w
"Always With Me" (Spirited Away), "One Summer's Day" trending. Adjacent to Disney-medley pillar. Vocal feasibility check needed.
🎄 Holiday content window opens in ~145 days
Q4 evergreen catalog drives 30-40% of annual views per VP's seasonal pattern. Plan tent-pole + 4-6 minis cycle starting late September.
Breakthrough Signals
When the system spots a video reaching new audiences. Elevated cold-viewer hate + reach expansion = winning, not warning.
🚀 Into The Deep (Into The Deep, 2026-05-01) — first 24h breakthrough proxy
58K views in ~24h represents the cold-start window for original content. Early sentiment delta vs baseline: monitoring. If cold-viewer % climbs while reach expands, system flags as breakthrough not concern.
⚠️ Hypothetical example: K-Pop Demon Hunters retention drift
If retention curve drops below catalog median while view-velocity stays high → this would be a TRUE warning (audience drift, not breakthrough). System triangulates against cold-viewer % + traffic-source diversification before alerting.
Hindsight
Six-month-ago picks vs what was done vs what happened. Honesty layer — keeps the system calibrated.
📅 No retrospect available yet — first weekly run TBD
This view populates after the first 6 months of recommendations. Once active: each 6-month-old recommendation joins to actual decisions and outcomes here. System learns from misses + identifies which signals predicted hits vs noise.