AnalysisData

Data · 1,138 videos · real YouTube Studio

Take all of it

Transcripts, the raw Studio exports, every script, and the working notes. Enough to open this research inside your own Claude and keep going without me.

958 transcripts3 Studio exports18 scripts17 Aug 2026

01 Files

EVERYTHING.zip
Everything at once. Every file below in one archive. Take this one if you would rather not choose.
2.33 MB
↓
HANDOFF.md
Handoff. Method, file map, the gotchas that cost time, and the open questions. Plus a ready-made prompt to paste into Claude and pick up exactly where this left off.
8 KB
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REPORT.md
Full write-up. The Analysis tab as markdown. The convenient one to script from.
20 KB
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transcripts.zip
958 transcripts. Foldered L0-L5 by real earnings. Each file's header carries revenue, views, RPM, retention, CTR, impressions, subscribers gained, publish date, word count and WPM. Then the hook, the full script, and a timestamped version.
966 KB
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studio-exports.zip
YouTube Studio exports. The three raw lifetime exports: Art Of War, Wholesome Wendy, Zeck Felms. Everything here rests on these.
66 KB
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scripts.zip
Scripts. 18 Python scripts, all re-runnable: InnerTube catalogue scraping, transcript harvesting, cohort analysis, adversarial checks.
41 KB
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analysis-data.zip
Analysis data. final_real_rows.json is the joined dataset and the easiest place to start asking new questions. Plus every printed table.
1.39 MB
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All served as static files, nothing generated on request. The links do not expire.

02 How to carry this on in your own Claude

Download, unzip, paste this prompt

Drop the unzipped folder wherever your Claude Code runs, then open with this. It will read the report and the handoff itself and pick the context back up.

/master_everything

I'm continuing a revenue study of three faceless YouTube channels:
The Art Of War (@theartofwarrr), Wholesome Wendy (@Wholesomewendy)
and Zeck Felms (@ZeckFelms).

In this folder:
- REPORT.md            the full findings, read this first
- HANDOFF.md           method, file map, open questions
- transcripts.zip      958 transcripts foldered by REAL earnings level
- studio-exports.zip   the three raw YouTube Studio lifetime exports
- scripts.zip          every Python script used, all re-runnable
- analysis-data.zip    derived JSON + the printed analysis tables

Read REPORT.md and HANDOFF.md, then help me with: <your question>

To ask new questions of the data rather than re-read the conclusions, load final_real_rows.json from analysis-data.zip. It is the joined dataset, one record per video: revenue, views, RPM, duration, retention, CTR, impressions, subscribers, publish date, earnings level and the transcript segments.

03 What is inside the transcripts

transcripts/ L0_under_250/ 440 files under $250 L1_250_1k/ 365 files $250 - $1,000 L2_1k_2.5k/ 101 files $1,000 - $2,500 L3_2.5k_5k/ 37 files $2,500 - $5,000 L4_5k_10k/ 14 files $5,000 - $10,000 L5_10k_plus/ 1 file Best Brother Ever, the only one each level splits by channel, files sorted by revenue: 001__011194usd__LZE99OP7yD0__Best_Brother_Ever.txt

Every file opens with a header that is already a row of data. Then the hook, meaning the first three seconds of speech, the full script, and a version timestamped line by line.

04 What I would dig into next