Job First Mentions

Overview

Job First Mentions track when a company includes a specific skill, tool, or technology in a job posting for the first time. In TickerTrends, this dataset captures real hiring decisions, reflecting when companies begin adopting or seriously evaluating new technologies. Unlike total job post volume, which is often inflated by repeated listings, first mentions represent a deliberate shift in requirements, making this a forward-looking signal of technology adoption and workforce demand.

Historical Length

Coverage varies by dataset, but typically includes multiple years of historical job posting data, allowing users to analyze long-term adoption trends across technologies and industries.

Granularity

Daily data is the default. In TickerTrends, we identify the first occurrence of a keyword at the company level and aggregate the number of companies making that first mention each day. This creates a time series that highlights when adoption decisions are happening in real time.

Update Frequency

Data is updated weekly. Users can expect a one to two week lag between job posting activity and when first mention signals appear on the platform.

Methodology

We scan job postings across a large and diverse dataset, tracking keyword mentions at the company level. For each company, we identify the first time a specific keyword appears in their job postings. Subsequent mentions are excluded, ensuring that only true adoption events are counted.

These first mentions are then aggregated by day to measure how many companies are newly introducing a given skill or technology into their hiring requirements. This approach filters out repeated job postings and focuses only on net-new signals of adoption.

Example Visualization

A time series showing the number of companies mentioning a technology (e.g., “OpenAI,” “Excel,” “Snowflake”) for the first time in job postings. Spikes indicate periods where adoption is accelerating across companies.

Use Cases

• Identify emerging technologies before they appear in earnings or mainstream reporting

• Track which skills are becoming essential across industries

• Monitor real-time shifts in hiring requirements and workforce demand

• Analyze early adoption of AI tools, software platforms, and technical capabilities

• Validate whether broader trends in search, social, or news are supported by actual company behavior