Twitter/X Profile Analyzer

Twitter/X profile analysis: engagement, influence mapping, audience quality, and which tweets actually move markets.

Twitter is where executives think out loud and markets move on hot takes. This actor gives you the complete signal: engagement patterns, audience composition, influence score, tweet performance patterns, and whether someone's a thought leader or just a big mouth. Essential for identifying market movers before the masses catch up.

⚡ What You Get

🐦 TWITTER/X PROFILE INTELLIGENCE
├── @sarah_vc (127.4K followers)
│   ├── Account Basics
│   │   ├── Followers: 127,431
│   │   ├── Following: 892
│   │   ├── Total Tweets: 8,742
│   │   ├── Joined: March 2015 (11 years old — established account)
│   │   └── Verification Status: Verified (Blue check ✓)
│   ├── Engagement Profile
│   │   ├── Avg Likes Per Tweet: 1,247
│   │   ├── Avg Replies Per Tweet: 89
│   │   ├── Avg Retweets Per Tweet: 342
│   │   ├── Engagement Rate: 1.34% (Exceptional for 127K followers)
│   │   │   └── 👈 Top 2% of Twitter accounts (typical: 0.2-0.4%)
│   │   └── Comment Sentiment: 87% positive | 8% neutral | 5% negative
│   ├── Influence Scoring
│   │   ├── Influence Score: 87/100 (High tier)
│   │   ├── Authority in: Venture Capital, Startups, SaaS
│   │   ├── Reach Score: 76 (How far tweets propagate)
│   │   ├── Trust Score: 89 (Followers believe this person)
│   │   └── Network Position: Well-connected (in top 5% by centrality)
│   ├── Tweet Performance Analysis
│   │   ├── Best Performing Tweet Type: Market takes (1.8% engagement)
│   │   ├── Second Best: Investment thesis threads (1.6% engagement)
│   │   ├── Third: Industry updates (0.9% engagement)
│   │   └── Worst: Memes/jokes (0.3% engagement — not their lane)
│   ├── Audience Composition
│   │   ├── Primary Audience: VCs/Investors (34%)
│   │   ├── Secondary: Founders/Startup CEOs (28%)
│   │   ├── Tertiary: Tech journalists (18%)
│   │   ├── Other professionals (20%)
│   │   └── 📊 Geographic: US (67%) | Europe (19%) | Asia (14%)
│   ├── Content Velocity
│   │   ├── Tweets Per Day: 2.1
│   │   ├── Posting Consistency: 94/100 (Very reliable)
│   │   ├── Prime Tweeting Hours: 9am, 2pm, 6pm EST
│   │   └── Follower Growth: +8.2K per month (accelerating)
│   └── Estimated Influence Metrics
│       ├── Monthly Content Value: $15K - $22K (if sponsored)
│       ├── Market Move Influence: Medium-High
│       └── Network Effect: Strong (tweets mentioned in 847 articles last quarter)

🎯 Use Cases

• PR/Communications Teams: Monitor what key influencers are saying about your company. Respond to takes before they become trends.
• Venture Capital: Track founder sentiment and market signals. See which founders are raising, which are struggling.
• Investor Relations: Understand how key stakeholders perceive your company. Identify critics early.
• Market Researchers: Track opinion leaders. See which takes are gaining traction before they hit mainstream media.
• Competitive Intelligence: Monitor competitor executives. See what they're announcing, what they're worried about.

📊 Sample Output

{
  "username": "sarah_vc",
  "user_id": "12345678",
  "display_name": "Sarah Chen",
  "bio": "VC at Sequoia. Investing in future. All opinions are my own.",
  "profile_image_url": "https://pbs.twimg.com/...",
  "followers_count": 127431,
  "following_count": 892,
  "tweets_count": 8742,
  "is_verified": true,
  "account_age_years": 11,
  "account_url": "https://twitter.com/sarah_vc",
  "engagement_metrics": {
    "average_likes": 1247,
    "average_replies": 89,
    "average_retweets": 342,
    "average_impressions": 94234,
    "engagement_rate_percent": 1.34,
    "engagement_percentile": 98,
    "comment_sentiment": {
      "positive_percent": 87,
      "neutral_percent": 8,
      "negative_percent": 5
    }
  },
  "influence_metrics": {
    "influence_score": 87,
    "reach_score": 76,
    "authority_score": 89,
    "trust_score": 89,
    "network_centrality_percentile": 94,
    "authority_domains": [
      "venture capital",
      "startups",
      "saas",
      "fintech"
    ]
  },
  "tweet_performance_analysis": {
    "best_performing_type": "Market takes",
    "best_performing_engagement_rate": 1.8,
    "second_best_type": "Investment thesis threads",
    "second_best_engagement_rate": 1.6,
    "worst_performing_type": "Memes/jokes",
    "worst_performing_engagement_rate": 0.3,
    "optimal_tweet_length": "140-200 characters",
    "optimal_posting_times": ["09:00 EST", "14:00 EST", "18:00 EST"]
  },
  "audience_composition": {
    "venture_capitalists_percent": 34,
    "founders_ceos_percent": 28,
    "tech_journalists_percent": 18,
    "other_professionals_percent": 20,
    "geography": {
      "US": 67,
      "Europe": 19,
      "Asia": 14
    },
    "audience_quality_score": 91
  },
  "content_velocity": {
    "tweets_per_day": 2.1,
    "consistency_score": 94,
    "days_since_last_tweet": 0,
    "posting_pattern": "Predictable (high consistency)"
  },
  "growth_analytics": {
    "follower_growth_monthly": 8234,
    "follower_growth_percent_monthly": 6.9,
    "follower_growth_6month": 42897,
    "growth_trend": "accelerating"
  },
  "recent_high_impact_tweets": [
    {
      "tweet_id": "1234567890",
      "text": "The AI infrastructure race is over. It's Nvidia vs the world. Everyone else is playing for second place.",
      "created_at": "2026-02-24T14:22:00Z",
      "likes": 4821,
      "replies": 287,
      "retweets": 1034,
      "impressions": 287234,
      "engagement_rate": 1.89
    },
    {
      "tweet_id": "1234567891",
      "text": "Just led $8M Series A into [Startup]. They're solving the supply chain visibility problem everyone else ignored. Thread 🧵",
      "created_at": "2026-02-22T09:15:00Z",
      "likes": 3421,
      "replies": 156,
      "retweets": 892,
      "impressions": 203421,
      "engagement_rate": 1.58
    }
  ],
  "estimated_sponsorship_value": {
    "per_tweet_usd_low": 3500,
    "per_tweet_usd_high": 8200,
    "per_month_usd_low": 15000,
    "per_month_usd_high": 22000
  },
  "last_updated": "2026-02-26T17:33:00Z"
}

Key Fields Explained:

• engagement_percentile: 98 means this person's tweets outperform 98% of Twitter accounts. Elite tier.
• network_centrality_percentile: Are they central to information flow? 94 means they're a major hub. When they tweet, people listen.
• influence_score vs trust_score: High influence + high trust = people actually believe what they say and act on it.
• engagement_rate_percent: 1.34% is EXCEPTIONAL. Most accounts are 0.1-0.3%. This person's tweets reach people.
• audience_quality_score: 91/100 means followers are real decision-makers, not bots. High-value audience.

🔗 Integrations & Automation

Real-Time Tweet Alerts: Set up webhooks for tweets from key accounts. Get notified the moment they post (before markets react).

Email Digest: Daily summary of top influencer activity in your space. See which takes are gaining traction.

Spreadsheet Tracking: Monitor competitor executives. Track their follower growth, engagement trends, sentiment shifts.

MCP Integration: Query influencer metrics directly from your research workflow.

Integrations →

🔗 Works Great With

• Competitive Intelligence — Track competitor executives across all platforms. Holistic intelligence.
• Market Research Automator — Combine Twitter sentiment with market data for complete picture.
• LinkedIn Stealth Scraper — Cross-reference Twitter influencers with LinkedIn profiles. Understand their full network.
• LinkedIn Company Intelligence — See what companies are hiring. Combine with Twitter sentiment for hiring signals.

💰 Cost & Performance

Typical run: 100 influencer profiles analyzed in ~2 minutes for $1.80. That's $0.018 per profile — basically free.

Manual Twitter analysis? 5 minutes per person × 100 = 8+ hours of work. At $100/hour (market rate for analysts), that's $800 saved.

Includes: Rate limiting respect, clean data extraction, real-time updates.

🛡️ Built Right

• Real-Time Data: Pulls directly from Twitter's public APIs. No cached stale data.
• Engagement Accuracy: Counts actual likes, retweets, replies. Verified metrics.
• Sentiment Analysis: Comment analysis to gauge audience reception.
• Trend Detection: Identifies which tweet types perform best for each influencer.
• Privacy Compliant: Public tweets only. No DMs, no private accounts.

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Fresh data. Zero guesswork. Be the first to know.

📧 Email alerts · 🔗 Webhook triggers · 🤖 MCP compatible · 📡 API access

Built by Creator Fusion — OSINT tools that actually work.