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Creator Watch

Manage and analyze a curated watchlist of Twitter/X creators for learning and research. Tracks solopreneurs, thought leaders, AI researchers, and content cre...

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Description


name: creator-watch description: Manage and analyze a curated watchlist of Twitter/X creators for learning and research. Tracks solopreneurs, thought leaders, AI researchers, and content creators. Scrape their content, import to a database, and analyze patterns. Triggers on "creator watchlist", "scrape creators", "update creator database", "who should I follow", "analyze creator", "track influencer", or any creator monitoring request. metadata: {"category": "research-intelligence", "platform": "twitter-x", "features": ["watchlist-management", "batch-scraping", "database-import", "engagement-analysis", "pattern-recognition"]}

Creator Watchlist Skill

Manage a curated list of Twitter/X creators worth learning from. Batch scrape their content, import to a database, and extract patterns from high-performing posts.


Watchlist

Tier 1: Solopreneur / Indie Hacker (Priority)

Username Followers Domain Tags
thedankoe 804K Personal growth / creator economy writing, philosophy
levelsio 795K Indie Hacker nomad, shipping, bootstrapped
naval 3M Philosophy / investing philosophy, wealth, startups
thejustinwelsh 560K Solopreneur linkedin, one-person-business
AlexHormozi 1M Business / fitness offers, sales
ShaanVP 458K Podcast / startups ideas, newsletter
arvidkahl 188K Bootstrapping audience, zero-to-sold
tibo_maker 178K Maker product, distribution
tdinh_me 176K Indie Hacker saas, products
noahkagan 170K Marketing growth, appsumo
dannypostma 167K AI Products maker, ai-tools
yongfook 147K SaaS bootstrapped, design
nathanbarry 146K Creator Economy newsletters, convertkit
thepatwalls 134K Startups interviews, stories
csallen 68K Community indie-hackers, founder

Tier 2: Tech / AI Thought Leaders

Username Followers Domain Tags
karpathy 1.6M AI education deep-learning, youtube
lexfridman 4.5M Podcast / AI interviews, research
ylecun 1M AI Research meta, deep-learning
DrJimFan 351K AI Research embodied-ai, nvidia
lilianweng 183K AI Research openai, blog
mattpocockuk 230K TypeScript tutorials, ts

Tier 3: Writing / Content

Username Followers Domain Tags
SahilBloom 1M+ Writing / investing threads, frameworks
JamesClear 2M+ Habits / productivity habits, atomic
dickiebush 400K Writing instruction writing, ship30
david_perell 500K Writing essays

Quick Commands

Scrape One Creator

# Using rnet_twitter.py (async Twitter GraphQL client)
python twitter_scraper.py <username> --limit 200
python db_import.py storage/twitter/<username>.json

Scrape Batch by Tier

# Tier 1: Solopreneur / Indie Hacker (Priority)
TIER1="thedankoe levelsio naval thejustinwelsh AlexHormozi ShaanVP arvidkahl tibo_maker tdinh_me noahkagan dannypostma yongfook nathanbarry thepatwalls csallen"

# Tier 2: Tech / AI
TIER2="karpathy lexfridman ylecun DrJimFan lilianweng"

# Tier 3: Writing
TIER3="SahilBloom JamesClear dickiebush david_perell"

for user in $TIER1; do
  echo "=== Scraping @$user ==="
  python twitter_scraper.py $user --limit 200
  python db_import.py storage/twitter/$user.json
  echo "Waiting 30s to avoid rate limit..."
  sleep 30
done

Scraping Schedule

Frequency Creators Why
Weekly thedankoe, naval, SahilBloom High volume, trending content
Bi-weekly AlexHormozi, JamesClear Medium volume
Monthly Others Reference / archive

Database Schema

CREATE TABLE twitter_content (
  id TEXT PRIMARY KEY,
  username TEXT NOT NULL,
  text TEXT,
  created_at TIMESTAMPTZ,
  likes INTEGER DEFAULT 0,
  retweets INTEGER DEFAULT 0,
  replies INTEGER DEFAULT 0,
  views BIGINT,
  url TEXT,
  is_retweet BOOLEAN DEFAULT FALSE,
  imported_at TIMESTAMPTZ DEFAULT NOW()
);

CREATE INDEX idx_twitter_content_username ON twitter_content(username);

Analysis Queries

Top Performing Tweets by Likes

SELECT username, text, likes, retweets, url
FROM twitter_content
WHERE likes > 1000
ORDER BY likes DESC
LIMIT 20;

Engagement Rate by Creator

SELECT
  username,
  COUNT(*) as tweets,
  AVG(likes) as avg_likes,
  AVG(retweets) as avg_retweets,
  MAX(likes) as top_tweet_likes
FROM twitter_content
GROUP BY username
ORDER BY avg_likes DESC;

Find Viral Threads (High Engagement)

SELECT username, text, likes, retweets, views, url
FROM twitter_content
WHERE likes > 5000
  AND text NOT LIKE 'RT @%'
ORDER BY likes DESC;

Content Patterns (Time Analysis)

SELECT
  EXTRACT(DOW FROM created_at) as day_of_week,
  EXTRACT(HOUR FROM created_at) as hour,
  AVG(likes) as avg_likes
FROM twitter_content
GROUP BY day_of_week, hour
ORDER BY avg_likes DESC
LIMIT 10;

Topic Frequency (Simple Text Search)

-- Find posts mentioning a topic
SELECT username, text, likes, url
FROM twitter_content
WHERE text ILIKE '%indie hacker%'
ORDER BY likes DESC
LIMIT 20;

Adding New Creators

To add a creator to the watchlist:

  1. Research first — Check follower count, content quality, posting frequency
  2. Test scrapepython twitter_scraper.py <username> --limit 50
  3. Add to watchlist — Update the table in this file with tier, follower count, domain, tags
  4. Importpython db_import.py storage/twitter/<username>.json

Criteria for Watchlist

  • 100K+ followers (established audience)
  • Consistent posting (at least weekly)
  • High engagement rate (likes/followers > 0.1%)
  • Content relevant to: creator economy, solopreneurship, personal growth, writing, AI, or technical building

Analysis Workflow

When user says "analyze [creator]":

  1. Query database for that creator's recent tweets
  2. Find top-performing content (sorted by likes)
  3. Identify patterns:
    • Topics: What subjects get the most engagement?
    • Formats: Threads vs single tweets vs lists
    • Timing: What day/hour performs best?
    • Hook types: Questions, contrarian takes, stats, stories
  4. Summarize insights with specific examples

Analysis output format:

## @[username] Content Analysis

### Top Performing Formats
1. [Format] — avg [X] likes
2. [Format] — avg [X] likes

### Highest Engagement Topics
1. [Topic] — [N] posts, avg [X] likes
2. [Topic] — [N] posts, avg [X] likes

### Best Posting Times
- [Day] at [Hour] — avg [X] likes

### Hook Patterns That Work
- [Hook type]: "[example]" ([X] likes)
- [Hook type]: "[example]" ([X] likes)

### Key Takeaways
- [Insight 1]
- [Insight 2]
- [Insight 3]

When user says "update creator database":

  1. Check which creators have not been scraped recently (> 7 days for Tier 1)
  2. Run scrape for each with 30-second delay between users
  3. Import each to database
  4. Report summary: creators updated, tweets imported, any errors

Current Status Tracking

Track scrape status in this format:

Username Status Tweets Last Scraped
@thedankoe Done 200 2026-01-27
@levelsio Done 200 2026-02-05
@naval Done 200 2026-02-05
@thejustinwelsh Done 200 2026-02-05
@AlexHormozi Partial 18 2026-02-05 (rate limited)
@karpathy Pending

Status values:

  • Done — Full scrape completed
  • Partial — Rate limited, partial data
  • Pending — Not yet scraped
  • Error — Scrape failed, needs investigation

Rate Limiting Strategy

Twitter/X has aggressive rate limiting. Follow these rules:

  • 30-second delay between user scrapes in batch mode
  • Max 10 users per scraping session
  • If rate limited mid-batch, wait 15 minutes before continuing
  • Prefer scraping during off-peak hours (early morning or late night)
  • Do not run two scraping sessions simultaneously

Cross-Creator Pattern Analysis

To find patterns across the entire watchlist:

-- What topics go viral across all creators?
SELECT
  -- extract common words/phrases manually or with NLP
  username,
  text,
  likes
FROM twitter_content
WHERE likes > 5000
  AND is_retweet = FALSE
ORDER BY likes DESC
LIMIT 50;

-- Which creator has the most consistent engagement?
SELECT
  username,
  AVG(likes) as avg_likes,
  STDDEV(likes) as stddev_likes,
  AVG(likes) / NULLIF(STDDEV(likes), 0) as consistency_score
FROM twitter_content
GROUP BY username
ORDER BY consistency_score DESC;

Insight Applications

Use creator analysis to:

  1. Content inspiration — Find angles that work in your niche
  2. Hook formulas — Extract winning opening lines to adapt
  3. Posting timing — Learn optimal days/hours for your audience
  4. Topic validation — See which topics get traction before writing
  5. Competitive intelligence — Understand what resonates in your market

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Compatible Platforms

Pricing

Free

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