Trendradar

persona: name: "Domain Expert" title: "Master of Trendradar" expertise: ['Specialized Knowledge', 'Best Practices', 'Industry Standards'] philosophy: "Excellence through expertise." credentials: ['Industry leader', 'Practiced expert', 'Thought leader'] principles: ['Quality first', 'Continuous improvement', 'Evidence-based decisions', 'Customer focus']

TrendRadar Skill

Overview

AI-powered trending topic monitoring and analysis from 35+ platforms. Cut through information overload with intelligent aggregation, filtering, and AI-powered conversational analysis. Perfect for research, content ideation, and opportunity discovery.

Source: sansan0/trendradar (4.5K+ stars)
Platforms: 35+ including Douyin, Zhihu, Bilibili, Weibo, Twitter, Reddit, HackerNews
Use Cases: Research, content, investing, PR, market analysis

Anti-Rationalization Table

When to Use

Trigger phrases:

• "trendradar"

• "AI-powered trending topic monitoring from 35+ platforms"

• Monitor industry trends in real-time

• Research content topics and viral hooks

• Track brand sentiment and PR

• Identify emerging opportunities early

• Multi-source trend aggregation

• Sentiment analysis for decisions

MCP Server Setup

Configuration and connection setup for the MCP server.

Installation

{
  "mcpServers": {
    "trendradar": {
      "command": "npx",
      "args": ["-y", "@trendradar/mcp-server"],
      "env": {
        "TRENDRADAR_API_KEY": "${TRENDRADAR_API_KEY}"
      }
    }
  }
}

Alternative: Direct Run

npx -y @trendradar/mcp-server

Available Tools (13 MCP Tools)

Complete list of available MCP tools and their parameters.

1. Search Trends

// Search trending topics across platforms
searchTrends({
  keyword: "AI",           // Search term
  platforms: ["twitter", "reddit", "hackernews"],
  timeRange: "24h",        // 1h, 6h, 24h, 7d, 30d
  limit: 20
})

2. Get Platform Trends

// Get trends from specific platform
getPlatformTrends({
  platform: "twitter",      // twitter, reddit, hackernews, etc.
  category: "technology",
  limit: 50
})

3. Analyze Trend

// Deep analysis of a trend
analyzeTrend({
  topic: "AI agents",
  includeSentiment: true,
  includeRelated: true
})

4. Get Trend History

// Historical trend data
getTrendHistory({
  topic: "GPT-5",
  timeRange: "30d",
  interval: "1d"
})

5. Compare Topics

// Compare trending topics
compareTopics({
  topics: ["AI", "crypto", "web3"],
  timeRange: "7d"
})

6. Get Sentiment Analysis

// Sentiment for topic
getSentiment({
  topic: "Tesla",
  platforms: ["twitter", "reddit"]
})

7. Monitor Keywords

// Set up keyword monitoring
monitorKeywords({
  keywords: ["AI startup", "new product"],
  platforms: ["twitter", "reddit"],
  notify: true
})

8. Get Trending Products

// Find trending products
getTrendingProducts({
  category: "software",
  timeRange: "7d"
})

9. Get Viral Content

// Find viral content
getViralContent({
  topic: "AI video",
  platforms: ["twitter", "tiktok"],
  limit: 10
})

10. Cross-Platform Analysis

// Analyze across platforms
crossPlatformAnalysis({
  topic: "AI tools",
  includePlatforms: ["twitter", "reddit", "hackernews", "ProductHunt"]
})

Supported Platforms

Platforms and services this skill integrates with.

Social Media

News & Media

Tech & Product

Use Cases

Real-world scenarios where this skill provides value.

1. Content Research

Use: larry-playbook + trendradar

1. Search trending topics in niche
2. Identify viral hooks
3. Analyze sentiment
4. Create content
5. Publish and track

2. Investment Research

Use: trading + trendradar

1. Monitor industry trends
2. Track company sentiment
3. Identify emerging tech
4. Analyze competitor mentions

3. Competitor Monitoring

Use: market-research + trendradar

1. Track competitor mentions
2. Sentiment analysis
3. PR impact analysis
4. Market positioning

4. PR & Brand Monitoring

Use: analytics + trendradar

1. Brand mention tracking
2. Sentiment monitoring
3. Crisis detection
4. Impact measurement

Integration with 1ai-skills

How to connect this tool with the 1ai-skills ecosystem.

Research Pipeline

trendradar → ai-research-agent → content-creation → publishing
   ↓              ↓                   ↓              ↓
Find trends   Analyze            Create          Distribute

Skill Synergies

With Continuous Learning

1. Monitor trends daily
2. Track successful content
3. Learn what works
4. Improve recommendations

Notification Channels

Configure alerts to:

• WeCom - Enterprise chat
• Feishu - Lark/Feishu
• DingTalk - Alibaba DingTalk
• Telegram - Bot notifications
• Email - Daily summaries
• ntfy - Push notifications

Best Practices

Key aspects of trendradar relevant to this section.

Do's

✅ Use specific keywords for targeted results
✅ Set up daily monitoring for priorities
✅ Cross-reference multiple platforms
✅ Use sentiment for quality判断
✅ Track historical data for patterns

Don'ts

❌ Don't monitor too many keywords
❌ Don't ignore negative sentiment
❌ Don't rely on single platform
❌ Don't skip competitor monitoring

Metrics

Version History

• v1.0 (2026-02-27) - Initial creation
  • Based on TrendRadar MCP server
  • 35+ platform integration

When NOT to Use

• When the research requires access to proprietary databases or paywalled sources
• When findings will be used for financial decisions requiring licensed advisor review
• When the task is too trivial to warrant this skill
• When a more appropriate skill exists

Common Rationalizations

Red Flags

• Research relies on a single unverified source
• Agent presents speculation as confirmed findings
• Watch for shortcuts and skipped steps

Verification

After completing this skill, confirm:

• Findings are verified across multiple independent sources
• Research methodology is documented and reproducible
• All required outputs generated
• Success criteria met

Agent Reach Integration

For deeper platform scraping beyond trend monitoring, use skill://agent-reach:

# After identifying trending topics via TrendRadar, deep-dive on Twitter
agent-reach twitter search "trending topic" --limit 100

# Reddit discussion analysis
agent-reach reddit search "trending topic" --limit 50

# YouTube video transcript analysis
agent-reach youtube search "trending topic" --limit 20 --transcript

# XiaoHongShu trend research (Chinese market)
agent-reach xhs search "热门话题" --limit 50

Use TrendRadar for monitoring and alerting, Agent Reach for deep content extraction. Combine with skill://social-intelligence for full sentiment analysis.

Related Skills

• ai-research-agent - Deep research
• larry-playbook - Viral content
• market-research - Competitor analysis
• social-intelligence - Cross-platform sentiment
• continuous-learning - Learn from trends

Process

1. Analyze the task requirements
2. Apply domain expertise
3. Verify output quality