How we source tech stack data

Infering tech stack data from job postings

We source our tech usage data from job postings. We gather job listings from millions of companies monthly by tracking company websites, job boards, and other hiring platforms.

When a job mentions a specific technology it hints the company is using that technology. The mention of the technology could be in the:

• Title: e.g. "Senior React Developer", "Java Developer", "Odoo Developer"...
• Description: e.g. "It requires experience with Hubspot", "We use GraphQL to query our data", "You have at least 3 years of experience with React"...
• Job URL: Jobs posted in a ATS have the domain of the ATS in the url. Eg: https://join.com/companies/xxx/xxx, https://jobs.workable.com/view/xxx...

Technology usage details

When you're in a company search filtering by some technologies, we show cards highlighting the technologies they use that overlap with the ones you're filtering by.

If you hover on the technology card, you can see some details on the relationship between that company and that technology:

• Confidence score (high, medium, low) - see the full explanation here
• First date found - when a job by the company mentioned the technology for the first time
• Last date found - when a job by the company mentioned the technology for the last time
• Rel. occurrence - number of mentions of this technology compared to the total mentions of all the technologies from the same category. See the full list of categories here and browser the technologies we track here.
• N. jobs mentioned - number of jobs mentioning this technology, with link to those jobs
• Category this technology belongs to

By clicking on N.jobs mentioned, you'll be taken to a Job Search view showing the jobs from that company where the technology was found.

The confidence score: Measuring the likelihood of technology usage

Our Confidence Score (low, medium, high) helps us estimate how likely it is that a company actually uses this technology. It's calculated based on

• the number of mentions
• the frequency of the mentions relative to similar technologies in the category. If a company mentions 40 times Hubspot and 4 times Pipedrive, we consider it more likely they use Hubspot.
• where this mention is found. We give more weight to mentions in the title or in the url.
• the date of the mentions. We give more weight to the most recent mentions.