Detect buying signals from multiple sources, qualify leads, and generate outreach context
npx gooseworks install --all # then, in Claude Code, Cursor, or Codex: /gooseworks use the signal-detection-pipeline skill
Monitor multiple signal sources to find companies actively in-market for your client's solution. Combine signals for higher-confidence leads.
Run the sources relevant to the client's ICP. Each is independent — run in parallel.
Skill: job-posting-intent
Companies hiring for roles in the problem area = budget allocated and pain acknowledged.
Skill: funding-signal-monitor
Recently funded companies = budget available, growth mandate.
Skill: luma-event-attendees
People attending events in the problem space = actively engaged.
Skill: reddit-post-finder
People complaining about or discussing the problem = experiencing the pain.
Skill: linkedin-post-research + linkedin-commenter-extractor
People posting about or engaging with the problem = thought leaders or practitioners.
After running relevant sources:
Discover rising category conversations, formats, sounds, questions, and creator patterns across social platforms, then separate durable demand signals from short-lived noise.
Turn TikTok, Instagram, YouTube, Facebook, X, LinkedIn, Reddit, or Rumble transcripts into timestamped hooks, claims, objections, proof, calls to action, sponsorship signals, and reusable content atoms. Use directly for transcript analysis or as support for creator, competitor, trend, demand, and repurposing work.
Produce a decision-ready brief of current brand, product, category, and competitor conversations across social platforms, including sentiment drivers, questions, risks, and growth opportunities.