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anysite Trend Analysis

anysite 趋势分析

Discover emerging trends and track viral content across social platforms using anysite MCP. Identify what's gaining momentum before it peaks.
借助anysite MCP，跨社交平台发现新兴趋势并追踪病毒式内容，在趋势达到峰值前识别出正在升温的话题。

Overview

概述

  • 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
  • 跨多平台检测新兴趋势
  • 追踪病毒式内容并识别爆款话题
  • 监控Hashtag表现和热门关键词
  • 分析话题热度和增长模式
  • 通过社交聆听识别市场变化
覆盖范围：75% - 对Twitter/X、Reddit、YouTube、LinkedIn、Instagram的支持表现良好

Supported Platforms

支持的平台

  • ✅ 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
  • ✅ Twitter/X：热门话题、病毒式推文、Hashtag追踪
  • ✅ Reddit：热门帖子、子社区活跃度、点赞增速
  • ✅ YouTube：热门视频、搜索趋势、崛起中的频道
  • ✅ LinkedIn：专业领域趋势、行业讨论
  • ✅ Instagram：热门Hashtag、病毒式内容

Quick Start

快速开始

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
步骤1：搜索热门内容
按平台操作：
  • Twitter: 
    search_twitter_posts(query, count)
    按互动量排序
  • Reddit: 
    search_reddit_posts(query, count)
    按点赞数排序
  • YouTube: 
    search_youtube_videos(query, count)
    按发布时间排序
  • LinkedIn: 
    search_linkedin_posts(keywords, count)
  • Instagram: 
    search_instagram_posts(query, count)
步骤2：分析热度
查看以下指标：
  • 互动增速（增长率）
  • 跨平台覆盖度
  • 评论量与情感倾向
  • 分享/转发模式
步骤3：长期追踪
监控变化：
  • 每日互动量增长
  • 新增平台覆盖
  • 主流与小众传播情况
  • 峰值时间预测
步骤4：输出洞察报告
交付内容：
  • 热门话题列表
  • 热度指标
  • 战略建议
  • 预警或机遇提示

Common Workflows

常见工作流

Workflow 1: Multi-Platform Trend Detection

工作流1：多平台趋势检测

Scenario: Identify what's trending in tech/AI space
Steps:
  1. Search Across Platforms
undefined
场景：识别科技/AI领域的热门趋势
步骤：
  1. 跨平台搜索
undefined

Twitter

Twitter

search_twitter_posts(query="AI OR artificial intelligence", count=100) Filter for: Posted within 24-48h, high engagement
search_twitter_posts(query="AI OR artificial intelligence", count=100) 筛选条件：发布于24-48小时内，高互动量

Reddit

Reddit

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

YouTube

YouTube

search_youtube_videos(query="AI news", count=50) Filter: Published this week, views >10k
search_youtube_videos(query="AI news", count=50) 筛选：本周发布，播放量>10k

LinkedIn

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
search_linkedin_posts(keywords="artificial intelligence", count=50) 筛选：高互动量，近期发布

2. **提取共同主题**
分析内容中重复出现的元素：
  • 关键词与短语
  • 企业/产品提及
  • 活动或公告
  • 问题或关注点

3. **计算趋势得分**
针对每个主题：
  • 平台覆盖数（涉及多少个平台）
  • 总互动量
  • 增长速度
  • 情感分布

4. **识别爆款趋势**
符合以下特征的趋势：
  • 覆盖3个及以上平台
  • 互动量日增长>50%
  • 正面或争议性情感倾向
  • 有网红/媒体报道

**预期输出**：
- 前5-10个热门主题
- 分平台明细
- 热度指标
- 战略影响分析

Workflow 2: Hashtag Performance Tracking

工作流2：Hashtag表现追踪

Scenario: Monitor hashtag growth and adoption
Steps:
  1. Search by Hashtag
undefined
场景：监控Hashtag的增长与普及情况
步骤：
  1. 按Hashtag搜索
undefined

Instagram

Instagram

search_instagram_posts(query="#sustainability", count=100) Group by: Last 24h, last week, last month
search_instagram_posts(query="#sustainability", count=100) 分组：过去24小时、过去一周、过去一个月

Twitter

Twitter

search_twitter_posts(query="#sustainability", count=100) Track tweet volume over time
search_twitter_posts(query="#sustainability", count=100) 追踪推文数量随时间的变化

LinkedIn

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
search_linkedin_posts(keywords="sustainability", count=50) 查看专业领域的采用情况

2. **计算增速**
Hashtag增速：
  • 过去24小时 vs 前24小时的发帖量
  • 互动率变化
  • 使用该Hashtag的新账号数量
  • 地域传播范围

3. **分析内容演变**
对比早期与近期帖子：
  • 话题转变
  • 受众变化
  • 网红参与情况
  • 商业应用情况

4. **预测峰值**
基于增长曲线：
  • 萌芽阶段（加速增长）
  • 峰值阶段（增长放缓）
  • 衰退阶段（热度下降）

**预期输出**：
- Hashtag表现报告
- 增长轨迹
- 峰值时间预估
- 战略建议

Workflow 3: Reddit Trend Mining

工作流3：Reddit趋势挖掘

Scenario: Find emerging discussions in specific communities
Steps:
  1. Search Target Subreddits
search_reddit_posts(
  query="",
  subreddit="technology"
)
→ Get top posts from last week
  1. 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
  1. Extract Discussion Themes
From high-momentum posts:
- What problems are discussed?
- What solutions are proposed?
- What companies/products mentioned?
- What sentiment (positive, negative, concerned)?
  1. 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
场景：在特定社区中发现新兴讨论
步骤：
  1. 搜索目标子社区
search_reddit_posts(
  query="",
  subreddit="technology"
)
→ 获取过去一周的热门帖子
  1. 分析帖子热度
针对每个帖子：
  get_reddit_post(post_url)
  get_reddit_post_comments(post_url)

计算：
- 每小时点赞数
- 评论增速
- 获得的奖励数量
- 争议指数
  1. 提取讨论主题
从高热度帖子中：
- 讨论的问题是什么？
- 提出了哪些解决方案？
- 提到了哪些企业/产品？
- 情感倾向如何（正面、负面、担忧）？
  1. 追踪跨平台传播
查看Reddit上的热门话题是否出现在：
- Twitter（主流关注度）
- LinkedIn（专业讨论）
- YouTube（科普内容）
预期输出：
  • Reddit热门趋势
  • 社区情感倾向
  • 主流化潜力
  • 先发机遇

MCP Tools Reference

MCP工具参考

Twitter/X

Twitter/X

  • search_twitter_posts(query, count)
    - Find tweets, filter by engagement
  • get_twitter_user(user)
    - Check influencer adoption
  • search_twitter_posts(query, count)
    - 查找推文，按互动量筛选
  • get_twitter_user(user)
    - 查看网红采用情况

Reddit

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
  • search_reddit_posts(query, subreddit, count)
    - 查找讨论内容
  • get_reddit_post(url)
    - 获取帖子详情和热度数据
  • get_reddit_post_comments(url)
    - 分析讨论深度

YouTube

YouTube

  • search_youtube_videos(query, count)
    - Find trending videos
  • get_youtube_video(video)
    - Track view velocity
  • get_youtube_video_comments(video, count)
    - Gauge interest
  • search_youtube_videos(query, count)
    - 查找热门视频
  • get_youtube_video(video)
    - 追踪播放增速
  • get_youtube_video_comments(video, count)
    - 衡量用户兴趣

LinkedIn

LinkedIn

  • search_linkedin_posts(keywords, count)
    - Professional trends
  • get_linkedin_company_posts(urn, count)
    - Corporate adoption
  • search_linkedin_posts(keywords, count)
    - 专业领域趋势
  • get_linkedin_company_posts(urn, count)
    - 企业采用情况

Instagram

Instagram

  • search_instagram_posts(query, count)
    - Hashtag trends
  • get_instagram_post(post_id)
    - Engagement metrics
  • search_instagram_posts(query, count)
    - Hashtag趋势
  • get_instagram_post(post_id)
    - 互动指标

Trend Identification Framework

趋势识别框架

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
趋势阶段：
  1. 萌芽期（0-20%认知度）
    • 小众社区讨论
    • 互动量低但加速增长
    • 早期尝鲜者尝试
    • 行动建议：密切监控，准备策略
  2. 成长期（20-50%认知度）
    • 进入主流平台
    • 互动量快速增长
    • 网红开始采用
    • 行动建议：创作内容，积极参与
  3. 峰值期（50-80%认知度）
    • 曝光度最大化
    • 增长速度放缓
    • 接近饱和
    • 行动建议：在衰退前最大化曝光
  4. 衰退期（80-100%认知度）
    • 互动量下降
    • 成为“背景噪音”
    • 新趋势出现
    • 行动建议：将注意力转移到下一个趋势
热度指标：
  • 数量：每日提及次数
  • 增速：增长率（变化百分比）
  • 覆盖范围：讨论的独立账号数量
  • 传播范围：涉及的平台数量
  • 情感倾向：正面/负面比例
  • 影响力：参与的关键账号

Output Formats

输出格式

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
聊天摘要：
  • 前5个带热度得分的趋势
  • 分平台明细
  • 战略建议
CSV导出：
  • 趋势名称、平台、数量
  • 增长率、情感倾向
  • 提及该趋势的关键网红
JSON导出：
  • 完整趋势数据
  • 时间序列指标
  • 跨平台相关性

Reference Documentation

参考文档

  • 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!
  • SOCIAL_MONITORING.md - 社交聆听技巧、监控策略和趋势预测方法
准备好发现趋势了吗？ 让Claude帮你识别新兴话题、追踪病毒式内容，或跨社交平台监控市场变化！