anysite Trend Analysis

Discover emerging trends and track viral content across social platforms using anysite MCP. Identify what's gaining momentum before it peaks.

Overview

• Detect emerging trends across multiple platforms
• Track viral content and identify breakout topics
• Monitor hashtag performance and trending keywords
• Analyze topic momentum and growth patterns
• Identify market shifts through social listening

Coverage: 75% - Good for Twitter, Reddit, YouTube, LinkedIn, Instagram

Supported Platforms

• ✅ Twitter/X: Trending topics, viral tweets, hashtag tracking
• ✅ Reddit: Trending posts, subreddit activity, upvote velocity
• ✅ YouTube: Trending videos, search trends, rising channels
• ✅ LinkedIn: Professional trends, industry discussions
• ✅ Instagram: Trending hashtags, viral content

Quick Start

Step 1: Search for Trending Content

By platform:

• Twitter: search_twitter_posts(query, count) sorted by engagement
• Reddit: search_reddit_posts(query, count) sorted by upvotes
• YouTube: search_youtube_videos(query, count) by recent
• LinkedIn: search_linkedin_posts(keywords, count)
• Instagram: search_instagram_posts(query, count)

Step 2: Analyze Momentum

Check indicators:

• Engagement velocity (growth rate)
• Cross-platform presence
• Comment volume and sentiment
• Share/retweet patterns

Step 3: Track Over Time

Monitor changes:

• Daily engagement growth
• New platform adoption
• Mainstream vs. niche spread
• Peak timing prediction

Step 4: Report Insights

Deliver:

• Trending topics list
• Momentum indicators
• Strategic recommendations
• Early warnings or opportunities

Common Workflows

Workflow 1: Multi-Platform Trend Detection

Scenario: Identify what's trending in tech/AI space

Steps:

1. Search Across Platforms

# Twitter
search_twitter_posts(query="AI OR artificial intelligence", count=100)
Filter for: Posted within 24-48h, high engagement

# Reddit
search_reddit_posts(query="artificial intelligence", count=100)
Filter: r/technology, r/MachineLearning, r/singularity

# YouTube
search_youtube_videos(query="AI news", count=50)
Filter: Published this week, views >10k

# LinkedIn
search_linkedin_posts(keywords="artificial intelligence", count=50)
Filter: High engagement, recent

2. Extract Common Themes

Analyze content for recurring:
- Keywords and phrases
- Company/product mentions
- Events or announcements
- Questions or concerns

3. Calculate Trend Score

For each theme:
- Platform count (how many platforms)
- Total engagement
- Growth velocity
- Sentiment distribution

4. Identify Breakout Trends

Trends with:
- Presence on 3+ platforms
- Engagement growing >50% daily
- Positive or controversial sentiment
- Coverage by influencers/media

Expected Output:

• Top 5-10 trending themes
• Platform-by-platform breakdown
• Momentum indicators
• Strategic implications

Workflow 2: Hashtag Performance Tracking

Scenario: Monitor hashtag growth and adoption

Steps:

1. Search by Hashtag

# Instagram
search_instagram_posts(query="#sustainability", count=100)
Group by: Last 24h, last week, last month

# Twitter
search_twitter_posts(query="#sustainability", count=100)
Track tweet volume over time

# LinkedIn
search_linkedin_posts(keywords="sustainability", count=50)
Check professional adoption

2. Calculate Velocity

Hashtag velocity:
- Posts in last 24h vs. previous 24h
- Engagement rate change
- New accounts using hashtag
- Geographic spread

3. Analyze Content Evolution

Compare early vs. recent posts:
- Topic shifts
- Audience changes
- Influencer involvement
- Commercial adoption

4. Predict Peak

Based on growth curve:
- Early stage (accelerating)
- Peak stage (plateauing)
- Decline stage (slowing)

Expected Output:

• Hashtag performance report
• Growth trajectory
• Peak timing estimate
• Strategic recommendations

Workflow 3: Reddit Trend Mining

Scenario: Find emerging discussions in specific communities

Steps:

1. Search Target Subreddits

search_reddit_posts(
  query="",
  subreddit="technology"
)
→ Get top posts from last week

2. Analyze Post Momentum

For each post:
  get_reddit_post(post_url)
  get_reddit_post_comments(post_url)

Calculate:
- Upvotes per hour
- Comment velocity
- Award count
- Controversial score

3. Extract Discussion Themes

From high-momentum posts:
- What problems are discussed?
- What solutions are proposed?
- What companies/products mentioned?
- What sentiment (positive, negative, concerned)?

4. Track Cross-Pollination

Check if trending Reddit topics appear on:
- Twitter (mainstream awareness)
- LinkedIn (professional discussion)
- YouTube (explainer content)

Expected Output:

• Top Reddit trends
• Community sentiment
• Mainstream potential
• Early mover opportunities

MCP Tools Reference

Twitter/X

• search_twitter_posts(query, count) - Find tweets, filter by engagement
• get_twitter_user(user) - Check influencer adoption

Reddit

• search_reddit_posts(query, subreddit, count) - Find discussions
• get_reddit_post(url) - Get post details and momentum
• get_reddit_post_comments(url) - Analyze discussion depth

YouTube

• search_youtube_videos(query, count) - Find trending videos
• get_youtube_video(video) - Track view velocity
• get_youtube_video_comments(video, count) - Gauge interest

LinkedIn

• search_linkedin_posts(keywords, count) - Professional trends
• get_linkedin_company_posts(urn, count) - Corporate adoption

Instagram

• search_instagram_posts(query, count) - Hashtag trends
• get_instagram_post(post_id) - Engagement metrics

Trend Identification Framework

Trend Stages:

1. Emergence (0-20% awareness)

   • Niche communities discussing
   • Low but accelerating engagement
   • Early adopters experimenting
   • Action: Monitor closely, prepare strategy

2. Growth (20-50% awareness)

   • Crossing into mainstream platforms
   • Rapid engagement growth
   • Influencer adoption
   • Action: Create content, engage actively

3. Peak (50-80% awareness)

   • Maximum visibility
   • Slowing growth rate
   • Saturation approaching
   • Action: Maximize presence before decline

4. Decline (80-100% awareness)

   • Engagement decreasing
   • Moving to "background noise"
   • New trends emerging
   • Action: Shift focus to next trend

Momentum Indicators:

• Volume: Mentions per day
• Velocity: Growth rate (% change)
• Reach: Unique accounts discussing
• Spread: Number of platforms
• Sentiment: Positive/negative ratio
• Influence: Key accounts involved

Output Formats

Chat Summary:

• Top 5 trends with momentum scores
• Platform breakdown
• Strategic recommendations

CSV Export:

• Trend name, platforms, volume
• Growth rate, sentiment
• Key influencers mentioning

JSON Export:

• Complete trend data
• Time-series metrics
• Cross-platform correlations

Reference Documentation

• SOCIAL_MONITORING.md - Social listening techniques, monitoring strategies, and trend prediction methods

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Ready to discover trends? Ask Claude to help you identify emerging topics, track viral content, or monitor market shifts across social platforms!