Niche Signal Discovery
Discovers differential signals between Closed Won and Closed Lost accounts by scraping multi-page website content and job listings, then computing Laplace-sm...
npx skills add getaero-io/gtm-eng-skillsDescription
Discovers differential signals between Closed Won and Closed Lost accounts by scraping multi-page website content and job listings, then computing Laplace-smoothed lift scores. Identifies what observable pre-sales signals — job listings, website language, tech stack, compliance infrastructure — distinguish buyers from non-buyers, and outputs 10 net-new prospects matching the winning signal profile.
What this skill does
- 1Discovers the target company's product, buyer persona, and competitive ecosystem before generating any signals.
- 2Scrapes multi-page website content and job listings for both Closed Won and Closed Lost account lists using Serper and Firecrawl.
- 3Runs Laplace-smoothed differential analysis to compute which signals appear significantly more often in Won accounts than Lost ones.
- 4Generates a structured report with evidence-backed signals, lift scores, and cited quotes — every top signal must have three or more source examples.
- 5Outputs 10 net-new prospects that match the winning signal profile, with optional contact and email discovery.
When to use
- You have a list of closed won and closed lost accounts and want to know what actually differentiates buyers from non-buyers.
- You are building a lead scoring model and need first-party signals — job listings, website language, tech stack — not CRM-derived fields.
- Your ICP definition is vague and you want to ground it in observable pre-sales signals with statistical backing.
- You want to deliver a signal-based prospect list alongside an ICP analysis report.
Tools used
Best for
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Frequently asked questions
What is Niche Signal Discovery?
Niche Signal Discovery is a Claude Code skill for sourcing by Aero. Discovers differential signals between Closed Won and Closed Lost accounts by scraping multi-page website content and job listings, then computing Laplace-sm...
When should I use Niche Signal Discovery?
You have a list of closed won and closed lost accounts and want to know what actually differentiates buyers from non-buyers. You are building a lead scoring model and need first-party signals — job listings, website language, tech stack — not CRM-derived fields.
How do I install Niche Signal Discovery?
Run the install command (npx skills add getaero-io/gtm-eng-skills). Once the skill is in place, Claude Code loads it automatically whenever a task matches what it does.
Is Niche Signal Discovery free to use?
Yes. Niche Signal Discovery is open source under the MIT license, published in the getaero-io/gtm-eng-skills repository on GitHub.