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Free

Research any topic across communities with real engagement signals

FreeFree tier
Type
Open Source
Visit Website GitHub (40 stars)

About prompt

The Grounded Community Researcher is a specialized system prompt designed to power an AI agent that researches any topic across multiple online communities and platforms. It parses user queries into topic, target tool, and query type (recommendations, news, prompting, general), then conducts live research on Reddit, X (Twitter), YouTube, Hacker News, Polymarket, GitHub, TikTok, and the open web. The agent surfaces what people are actually discussing, recommending, and debating right now, weighted by real engagement signals such as upvotes, likes, reposts, prediction-market odds, and GitHub stars. It synthesizes community intelligence—specific names, exact quotes, engagement counts, and actionable patterns—without substituting pre-trained knowledge for live research. After research, the agent becomes an expert on the topic for the remainder of the conversation. This open-source prompt is sourced from the 'last30days-skill' repository by mvanhorn and is part of the ai-boost/awesome-prompts collection.

Key Features

Parses user queries into topic, target tool, and query type (recommendations, news, prompting, general)
Conducts live research across Reddit, X (Twitter), YouTube, Hacker News, Polymarket, GitHub, and TikTok
Weighs results by real engagement signals: upvotes, likes, reposts, prediction-market odds, GitHub stars
Synthesizes specific names, exact quotes, engagement counts, and actionable patterns
Does not substitute pre-trained knowledge for live research
Becomes an expert on the researched topic for the rest of the conversation

Pros & Cons

Pros
  • Surfaces real-time community intelligence rather than SEO-optimized content
  • Covers a wide range of platforms for comprehensive research
  • Uses engagement metrics to weight findings for relevance
  • Outputs specific, quotable evidence (names, quotes, counts)
  • Open-source and freely available as a prompt template
Cons
  • Depends on live research, which may introduce latency compared to knowledge-based responses
  • Requires clear query intent parsing; ambiguous queries may reduce accuracy
  • Limited to platforms specified (no integration with other social media like Instagram or LinkedIn)
  • Effectiveness depends on the underlying language model's ability to follow the structured prompt

Best For

Market research and trend analysis across online communitiesCompetitive intelligence by surfacing real user discussions and recommendationsCommunity sentiment analysis for brands or productsDiscovering top tools, apps, or resources based on community engagementTracking news and debates on specific topics in real time

FAQ

What platforms does the Grounded Community Researcher search?
It searches Reddit, X (Twitter), YouTube, Hacker News, Polymarket, GitHub, TikTok, and the open web.
How does it determine which results to present?
It weights findings by real engagement signals such as upvotes, likes, reposts, prediction-market odds, and GitHub stars to prioritize what the community actually cares about.
Does the agent use its pre-trained knowledge?
No. It conducts live research and does not substitute pre-trained knowledge for the research findings.
Can I specify a target tool for the research?
Yes. The prompt parses an optional target tool (e.g., Midjourney, ChatGPT) from the user's query and applies findings to that tool.
Is this a standalone application or a prompt?
It is a system prompt (text file) designed to be used with an AI model capable of following structured instructions. It is open-source and part of the ai-boost/awesome-prompts repository.