My YouTube Data
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Personal Data Dashboard
My YouTube Data
Everything your Watch Later sorter has learned about how you actually watch. Real numbers, pulled straight from your own pipeline.
You cast a wide net
That's spread across everything from AI and automation builders to longevity researchers to a single autumn jazz channel. Not many people are pulling from a library this wide.
Where it all landed
All 27 playlists, biggest first. Heads up: these counts are how many Watch Later videos got sorted into each playlist, not how many videos the playlist holds overall. AI & Automation is the single largest pile, but stack Longevity, Mental Health, Nutrition, Supplements, Heart Health, Insulin Resistance, Menopause and Women's Health together and your health research dwarfs it.
Your top 20 channels
Ranked by how many videos you've saved from each one.
Your longest single saves
The five biggest time commitments sitting in your library.
- "Autumn Jazz" (Positive Jazz Music) 11h 55m
- APOE / Alzheimer's NIA workshop 6h 39m
- "Build Your First AI Business in 6 Hours" (Nick Saraev) 5h 49m
- "taking magic LIVE" (Bryan Johnson) 5h 37m
- Vibe Coding & AI Agents Masterclass (Brock Mesarich) 4h 49m
The cleanup, step by step
Watch Later can't be emptied by the API alone (a long-standing YouTube limitation), so this runs in daily batches. Here's how far it's gotten.
And the small human stuff
Buried in 4,815 videos about longevity science and AI agents: a four-video playlist called "For Bob", two of which are Peter Attia on insulin sensitivity, so you're clearly looking out for him. Also 11 Minecraft videos, and a pickleball collection that turns out to be mostly about saving your knees after 40.