Tech Stack Spike
If a tech stack shows up across many of their job posts, they are heavily investing in it.
Sentence: Companies mentioning [technography] across multiple job posts (configurable threshold + time window)
Examples:
- technography=“Kubernetes”, count_threshold=3, timeframe=90
- technography=“Snowflake, Databricks”, count_threshold=5, timeframe=180
The technography field accepts variants, the agent matches semantically.
Optional descriptive_icp helps you specify a Company Category to target. It can be any company description in natural language (a category, industry, or business model), but never firmographic filters like employee count, location, or funding, which belong only in your ICP (icp_id). The items below are just examples of possible descriptive ICPs.
Examples: B2B SaaS Companies, B2B Fintech Companies, Neobanking Companies, B2B Customer Support SaaS Companies, Health-tech SaaS companies that sell to dentists, or Companies that offer Developer Observability Solutions.
Firmographic criteria such as funding, employee count, and company locations are set via your ICP (using icp_id), not as natural-language parameters. Repeating it in natural language will harm performance.
Headers
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)
Helps you specify a Company Category to target. It can be any company description in natural language (a category, industry, or business model), but never firmographic filters like employee count, location, or funding, which belong only in your ICP (icp_id). The items below are just examples of possible descriptive ICPs. Examples: B2B SaaS Companies, B2B Fintech Companies, Neobanking Companies, B2B Customer Support SaaS Companies, Health-tech SaaS companies that sell to dentists, or Companies that offer Developer Observability Solutions. 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.