Track Competitors Across 8 Platforms with Company Radar

Where this fits

You're a developer building an AI agent that needs to monitor competitors. Manually checking GitHub stars, Twitter mentions, Reddit threads, Hacker News, Product Hunt launches, and YC job postings is tedious and error-prone. company-radar automates this by taking company names, running parallel research across 8+ channels, and producing a single radar report with heat scores and executive briefings. It fits into any workflow where timely competitive awareness drives product decisions, sales outreach, or investment research.

Why agents benefit

• Orchestrates, doesn't duplicate: Instead of building custom scrapers, the skill delegates data collection to existing opendirectory micro-skills and coordinates their output—saving agent development time.
• Quantified signal: Each company gets a 0-100 heat score across four dimensions (momentum, hiring, community, product). Agents can rank and prioritize without subjective parsing.
• Parallel research: The agent runs all platform queries concurrently, cutting research time from minutes to seconds.
• Structured output: The radar report and per-company deep dives are formatted for easy ingestion into downstream tools—spreadsheets, dashboards, or natural language summaries.
• AI synthesis: The skill generates executive briefings that highlight key changes, allowing agents to deliver actionable insights rather than raw data dumps.

Practical scenarios

Pre-Investment Screening

An agent evaluates early-stage startups. It feeds candidate names into company-radar, which pulls GitHub activity, hiring trends from YC Jobs, and community buzz from Reddit and HN. The heat score quickly flags which startups are gaining traction, saving hours of manual research.

Sales Lead Prioritization

A sales assistant tracks target accounts. It runs company-radar weekly to detect spikes in hiring or product launches—strong buying signals. The agent then drafts personalized outreach emails referencing those changes.

Product Strategy Monitoring

A product manager's agent watches direct competitors. It triggers company-radar daily, aggregates new GitHub releases, PH launches, and Twitter announcements, and summarizes shifts in competitive positioning—keeping the team ahead without constant manual checking.

Add it to your agent workflow

Install via npx (compatible with Claude Code, Gemini CLI, and GitHub Copilot):

npx skills add Varnan-Tech/opendirectory --skill company-radar

Then invoke it from your agent prompt:

Use company-radar to research Acme Corp and Beta Inc. Provide the heat scores and a comparison of their hiring momentum.

The agent will run the orchestration and return a structured radar report with deep dives.

Compare before adopting

Before committing, evaluate against alternatives:

• Quality signals: Does it use reliable sources? Check the opendirectory micro-skills it depends on—are they maintained?
• Maintenance freshness: Look at recent commits and issue resolution on the GitHub repo.
• Alternatives: Consider generic web search agents or custom scripts—company-radar wins on breadth but may lack depth for niche platforms.
• Workflow fit: Does the output format match your downstream tools? The structured JSON is flexible, but confirm integration effort.

Why it is worth tracking

With 635 stars and active development, company-radar shows community momentum. It's a practical example of orchestration-layer skills that combine multiple data sources into one decision-ready artifact. The heat score design is thoughtful—it turns noise into a comparable metric. If you're building agents that need competitive intelligence without reinventing the wheel, this skill is worth evaluating. For more skills like this, browse the OpenAgentSkill directory and see how it fits your stack.