Personal research dashboard

Chief Information Aggregator & YouTube Scholar

A personal audit of how search, subscriptions, playlists, and comments compound into a learning system that is somehow both strategic and terminally online.

A completely normal amount of YouTube metadata to analyze.

Method note

Headline KPIs reflect the cleaned audit totals supplied for the narrative. Derived charts use direct parsing of the raw Takeout export.

Search-to-subscription retention is an audit estimate. No playback-speed telemetry is claimed or inferred.

Open Curiosity Velocity breakdown
67,570
Watch events

Cleaned audit total

5,484
Search events

Queries that opened the loop

866
Subscriptions

Channels promoted into recurring signal

312
Comments

Lightweight public peer review

10
Domains

Seven shown, three collapsed

51.5%
Search -> subscriptionEst.

Estimated retention from audit matching

Core narrative

Searches open the loop. Subscriptions maintain signal. Playlists encode prioritization. Comments function as lightweight peer review.

Loyalty creators

Signal sources with tenure

Knowledge map

Domain portfolio, not dashboard filler

Click a tile to focus the rest of the page. Hover if you want the plain-English version without pretending everyone enjoys taxonomy diagrams.

Seven major surfaces are shown here; the broader audit rolls up 10 distinct domains in total.

Apparently 10 PM is still considered professional development.

Comments

Peer review, not applause tracking

Comments behave less like vanity metrics and more like lightweight peer review: clarifications, corrections, occasional praise, and a recurring willingness to call weak arguments weak.

Analytical24
Affirming26
Skeptical42
Deadpan220

Heuristic tone read from the exported comment text.

Resume layer

What this says professionally

The pattern is less "watched a lot of videos" and more "built an ambient research engine." Searches open loops, subscriptions maintain signal, playlists encode priority, and comments pressure-test ideas in public.

Builds self-directed research systems and turns messy consumer data into a coherent narrative artifact.
Balances technical depth with broad curiosity across software, macro, geopolitics, science, and culture.
Uses lightweight feedback loops to test ideas rather than waiting for formal environments to do it for him.
Can translate personal data into an executive-style briefing without sanding off the personality.