Signal Scanner
Detect buying signals across TAM companies and watchlist personas.
npx goose-skills installDescription
Detect buying signals across TAM companies and watchlist personas. Three-phase architecture: (1) free diff-based signals from existing data (headcount growth, tech stack changes, funding rounds), (2) Apify-powered signals (job postings, LinkedIn content analysis, profile changes), and (3) post-processing with dedup, scoring, and lead status updates. Writes signals to Supabase signals table for ...
What this skill does
- 1Detects buying signals on TAM companies using three tiers: free diff-based signals (headcount growth, funding, tech stack changes), Apify-powered job posting and LinkedIn scans, and LLM-based content analysis.
- 2Scores each signal with an activation score that weights recency and account tier.
- 3Writes detected signals to a Supabase signals table and updates lead status to 'signal_detected' for qualified triggers.
- 4Always runs a dry-run preview first and requires explicit user approval before writing to the database.
When to use
- Your TAM is built and you want to shift from static lists to timing-based outreach triggers.
- You want to detect which accounts just raised a round, posted a relevant job, or had a leadership change.
- You're setting up a recurring weekly scan to surface the highest-priority accounts to contact this week.
Tools used
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Frequently asked questions
What is Signal Scanner?
Signal Scanner is a Claude Code skill for sourcing by GooseWorks AI. Detect buying signals across TAM companies and watchlist personas.
When should I use Signal Scanner?
Your TAM is built and you want to shift from static lists to timing-based outreach triggers. You want to detect which accounts just raised a round, posted a relevant job, or had a leadership change.
How do I install Signal Scanner?
Run the install command (npx goose-skills install). Once the skill is in place, Claude Code loads it automatically whenever a task matches what it does.
Is Signal Scanner free to use?
The author distributes it as MIT, but the repository has no LICENSE file. The source is public on GitHub (gooseworks-ai/goose-skills).