anysite-trend-analysis

# 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 engagemen