Technology source

The origin of the technologies detected in a company indicates how a technology has been identified within a company’s technology stack. Depending on the source, the certainty of actual usage varies, so it is important to consider this data point to correctly interpret the information.

What is it?

The TechSource field classifies technologies according to their origin, distinguishing between:

  • Web detection: Technologies actively used on the company website, DNS server, or other online services. Certainty of usage is 100%.
  • Mention in job listings: Technologies referenced in recruitment processes published by the company. Certainty of usage is variable and may be lower, as some job listings mention technologies that are not actually in use.

Some Human Resources departments tend to list all possible technologies in their job postings, even if the company does not actually use them. When we detect these cases, we invalidate all technologies from that listing to avoid misleading information.

Despite efforts to clean these data, the reliability of a technology mentioned in a job listing will always be lower than one detected in the company’s web infrastructure.

What is it for?

For data and B2B sales teams, TechSource is key to:

  • Identifying technologies in use within a company and adapting the commercial offering.
  • Segmenting companies by their level of technological maturity.
  • Optimising B2B sales strategies, focusing on companies with specific software or infrastructure needs.
  • Avoiding misinterpretation, differentiating between technologies actually in use and those mentioned without technical validation.

Technology detection sources

Below are the different methods used to identify technologies within a company and their reliability.

Web detection (100% certainty) ✅

Technologies identified directly in the company’s digital infrastructure:

  • Website source code: Identification of CMSs, frontend frameworks, analytics tools, and JavaScript libraries in use.
  • DNS server: Hosting providers, CDNs, and security solutions such as Cloudflare.
  • Backend services: Exposed APIs and automation software detected in HTTP headers.
  • SSL certificates and MX records: Identification of email and security providers.
  • E-commerce: Payment platforms and order management systems.

Example: If a company website uses Google Analytics, WordPress, and Stripe, we know with certainty that these technologies are in use.

Mention in job listings (variable certainty) ⚠️

Technologies listed in job descriptions published by the company:

  • Programming languages and frameworks used in internal development.
  • DevOps and cloud tools (Docker, Kubernetes, AWS, Azure).
  • Enterprise software (SAP, Salesforce, HubSpot).
  • Data technologies (SQL, NoSQL, Spark, Hadoop).

Example: A job listing mentioning Python, AWS, and Kubernetes may mean the company uses them… or simply that it is seeking profiles with those skills without actually having infrastructure based on these technologies.

To avoid errors, we apply the following criteria:

  • If all job listings of a company mention all possible technologies, we discard the information.
  • If a technology appears repeatedly in job listings with consistent descriptions, its reliability increases.
  • We always notify our clients when a technology originates from job listings so they can correctly interpret the information.