Youtube Rl Tracker

Name: Youtube Rl Tracker
Author: different-ai

different-ai/agent-bank

11 installs
247 repo stars
Updated April 3, 2026
different-ai/agent-bank

Tracks YouTube video performance in Notion to learn which thumbnails, titles, and hooks drive views over time.

About

Sets up a Notion tracker logging views, CTR, retention, and input features like thumbnail style and title hook to find winning patterns. A creator uses it to run manual reinforcement learning on their YouTube content.

Schema tracks thumbnail style, text, product, and title hook
Baseline data shows Face+UI+Text thumbnails outperforming talking heads

Youtube Rl Tracker by the numbers

11 all-time installs (skills.sh)
Ranked #680 of 853 Sales & Marketing skills by installs in the Skillselion catalog
Data as of Aug 3, 2026 (Skillselion catalog sync)

npx skills add https://github.com/different-ai/agent-bank --skill youtube-rl-tracker

Add your badge

Show developers this skill is listed on Skillselion. Paste this into your README.

[![Listed on Skillselion](https://skillselion.com/badge/skills/different-ai/agent-bank/youtube-rl-tracker.svg)](https://skillselion.com/skills/different-ai/agent-bank/youtube-rl-tracker)

Installs	11
repo stars	★ 247
Last updated	April 3, 2026
Repository	different-ai/agent-bank ↗

What it does

Tracks YouTube video performance in Notion to learn which thumbnails, titles, and hooks drive views over time.

Files

SKILL.mdMarkdownGitHub ↗

What I Do

Track YouTube video performance to discover patterns in what works. This is "poor man's reinforcement learning" - manually logging outcomes to improve over time.

The RL Loop

1. PUBLISH  -> Upload video with hypothesis (thumbnail style, title hook, topic)
2. WAIT     -> Let it run for 48-72 hours
3. LOG      -> Record in Notion with views, CTR, retention
4. ANALYZE  -> Compare winners vs losers
5. REPEAT   -> Apply learnings to next video

Key Insight from First Data Point

Video 1: "Using AI agents to pay bills and send invoices"

8 views in 1 day
Plain talking head thumbnail
Generic title

Video 2: "Paying My Contractor Through Claude | AI-Powered Finance"

133 views in 5 days (16x better!)
Thumbnail shows: Face + Product UI overlay + Text "I Let AI Pay My Bills"
Title has: Specific action + Brand name (Claude) + Category tag

What Made Video 2 Win:

1. Thumbnail has TEXT overlay - "I Let AI Pay My Bills" creates curiosity 2. Shows the PRODUCT - UI screenshot proves it's real, not just talk 3. Face + Context - Person looking at the UI, not just talking 4. Specific title - "Paying My Contractor" > "pay bills" (concrete vs abstract) 5. Brand name in title - "Claude" attracts AI-interested audience 6. Category tag - "AI-Powered Finance" helps discoverability

Hypothesis to Test:

Thumbnails with TEXT + PRODUCT UI + FACE outperform plain talking head thumbnails by 10x+

Database Schema

Core Fields (Outcomes)

Property	Type	Purpose
Title	title	Video title
Views	number	Total views
CTR	number	Click-through rate (%)
Retention	number	Average view duration (%)
Days Live	number	Days since publish
Views/Day	formula	`Views / Days Live`
Worked?	checkbox	Binary gut-check - was this a win?

Input Features (What You Controlled)

Property	Type	Options
Thumbnail Style	select	Talking Head, Face+UI, Face+Text, UI Only, Meme
Has Text	checkbox	Does thumbnail have text overlay?
Has Product	checkbox	Does thumbnail show the product/UI?
Title Hook	select	How-To, Story, Listicle, Question, Bold Claim
Has Brand	checkbox	Does title mention a brand (Claude, ChatGPT)?
Topic	select	AI Finance, Automation, Product Demo, Tutorial
Duration	number	Video length in minutes
Posted	date	When published

Reference Fields

Property	Type	Purpose
URL	url	Link to video
Thumbnail	files	Screenshot of thumbnail
Notes	rich_text	Why did it work/fail?

First Entry: The Baseline

Video 1 (LOSER):
- Title: "Using AI agents to pay bills and send invoices"
- Views: 8
- Days Live: 1
- Thumbnail Style: Talking Head
- Has Text: No
- Has Product: No
- Title Hook: How-To
- Has Brand: No
- Notes: Plain talking head, generic title, no visual hook

Video 2 (WINNER):
- Title: "Paying My Contractor Through Claude | AI-Powered Finance"
- Views: 133
- Days Live: 5
- Views/Day: 26.6
- Thumbnail Style: Face+UI
- Has Text: Yes ("I Let AI Pay My Bills")
- Has Product: Yes (shows invoice payment UI)
- Title Hook: Story
- Has Brand: Yes (Claude)
- Notes: Text overlay creates curiosity, UI proves it's real, specific action in title

Thumbnail Patterns to Test

Based on initial data:

Pattern	Example	Hypothesis
Face + UI + Text	Video 2	Best performer - proves reality + creates curiosity
Face + Bold Text	-	May work for controversial takes
UI Only	-	Good for tutorials, may lack personality
Talking Head	Video 1	Worst - no visual hook
Before/After	-	Good for transformation content

Title Patterns to Test

Pattern	Example	Hypothesis
Specific Action + Brand	"Paying My Contractor Through Claude"	Winner - concrete + searchable
Generic Action	"Using AI to pay bills"	Loser - too vague
Question	"Can AI Really Pay Your Bills?"	Untested - may drive curiosity
Number + Outcome	"I Automated 5 Hours of Finance Work"	Untested - quantified value

Weekly Review Process

1. Sort by Views/Day - normalize for time live 2. Filter by Worked? = true - what patterns emerge? 3. Group by Thumbnail Style - which visuals win? 4. Group by Title Hook - which hooks work? 5. Compare Has Text vs No Text - does text help? 6. Compare Has Brand vs No Brand - do brand names help?

Integration with YouTube Studio Skill

Use skill("youtube-studio") to:

Upload new videos with test hypotheses
Update thumbnails based on learnings
Track which changes improve performance

Reference Image

The winning thumbnail (133 views) vs losing thumbnail (8 views):

Key visual differences:

Winner: Face looking at UI, text overlay "I Let AI Pay My Bills", product screenshot visible
Loser: Plain talking head against brick wall, no text, no product context