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Personalized trend detection at the intersection of your knowledge and emerging opportunities
npx claudepluginhub designnotdrum/perplexity-search-plugin --plugin pattern-radarConfigure pattern-radar sources, weights, and domains.
Create a custom source adapter for pattern-radar
Get your personalized trend briefing based on profile domains.
On-demand trend scan for a topic. Search HN and GitHub for what's happening now.
Admin access level
Server config contains admin-level keywords
Share bugs, ideas, or general feedback.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Analyzes GitHub trending repos, PyPI/NPM download spikes, and tech Twitter to identify emerging developer trends before they hit mainstream news.
Autonomous, personalized research loops for Claude Code. Set a topic, walk away, come back to a quality-gated report adapted to your projects.
Use this agent when you need to identify market opportunities, analyze trending topics, research viral content, or understand emerging user behaviors. This agent specializes in finding product opportunities from TikTok trends, App Store patterns, and social media virality. Examples:\n\n<example>\nContext: Looking for new app ideas based on current trends\nuser: "What's trending on TikTok that we could build an app around?"\nassistant: "I'll research current TikTok trends that have app potential. Let me use the trend-researcher agent to analyze viral content and identify opportunities."\n<commentary>\nWhen seeking new product ideas, the trend-researcher can identify viral trends with commercial potential.\n</commentary>\n</example>\n\n<example>\nContext: Validating a product concept against market trends\nuser: "Is there market demand for an app that helps introverts network?"\nassistant: "Let me validate this concept against current market trends. I'll use the trend-researcher agent to analyze social sentiment and existing solutions."\n<commentary>\nBefore building, validate ideas against real market signals and user behavior patterns.\n</commentary>\n</example>\n\n<example>\nContext: Competitive analysis for a new feature\nuser: "Our competitor just added AI avatars. Should we care?"\nassistant: "I'll analyze the market impact and user reception of AI avatars. Let me use the trend-researcher agent to assess this feature's traction."\n<commentary>\nCompetitive features need trend analysis to determine if they're fleeting or fundamental.\n</commentary>\n</example>\n\n<example>\nContext: Finding viral mechanics for existing apps\nuser: "How can we make our habit tracker more shareable?"\nassistant: "I'll research viral sharing mechanics in successful apps. Let me use the trend-researcher agent to identify patterns we can adapt."\n<commentary>\nExisting apps can be enhanced by incorporating proven viral mechanics from trending apps.\n</commentary>\n</example>
Meta-Cognition tool for Claude Code: session history analysis, workflow optimization, and 21 MCP tools for deep session insights.
Developer workflow tools: community scanning, technical decision-making
Multi-source research plugin — code archaeology, community discourse, academic literature, and TRIZ cross-domain analysis with domain-adaptive depth
Reverse engineer black-box systems: APIs, protocols, features, and data formats
Persistent memory across agents with semantic search
Web search via Perplexity AI with smart context detection
Persistent memory across agents with semantic search
Persistent diagrams that Claude can read, build on, and export
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