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

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