Detect tech stack spikes - technology in N+ job posts
Detect companies with technology adoption spikes - a tech appearing repeatedly in their job posts.
When to use: You want volume detection for a technology (not just one mention).
Sentence: [descriptive_icp] companies mentioning [technography] in [count_threshold]+ posts in [timeframe] days
Examples:
- technography=“Kubernetes”, count_threshold=3, timeframe=90, descriptive_icp=“B2B fintech”
- technography=“Snowflake”, count_threshold=5, timeframe=180
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Body
Sentence: [descriptive_icp] companies mentioning [technography] in [count_threshold]+ job posts in [timeframe] days
Detect companies with technology adoption spikes - a tech appearing repeatedly in their job posts.
Name/identifier for this signal run
The technology to detect adoption spikes for.
Minimum matching job posts to qualify as a spike. Must be >= 2.
x >= 2Window in days to count posts within. Range: 1-365.
1 <= x <= 365ICP ID for company filtering (required)
Company type or industry to narrow results (e.g. 'B2B fintech', 'B2B SaaS', 'DevTools'). Optional - when omitted, searches across all industries.
Run this signal daily to discover new results (default: false, runs once)
Audience name for auto-adding discovered accounts (default: ' - Accounts')
Audience name for people enrichment (default: ' - People')
Credit limit for this signal. Signal stops once this many credits are consumed.
Auto-add discovered accounts to CRM in safe mode. New accounts are created; existing accounts are enriched without ownership changes.
Enrich discovered people with work emails. Requires enable_safe_crm_addition to be true.
Enable advanced LLM-based people finder for deeper people discovery.
Response
Successful Response
Common response shape for signal deployment endpoints. Returns at minimum the signal_id and a status. Some agents return additional fields (e.g. message, campaign_id) which are not documented in this shape.