What is technology tracking?
Technology tracking means monitoring the tools, platforms, and frameworks that companies are adopting based on what they mention in job postings. These signals include:- New tool adoption: first-time mentions of a technology in job postings
- Tech stack changes (a company replacing one tool with another
- Platform migrations: moving from on-premise to cloud, from one database to another
- Emerging tech investment: hiring for skills around AI, blockchain, or other cutting-edge areas
Why tech signals matter
If you sell software or technical services, technology signals are some of the most valuable data you can get:- Who’s adopting your category: companies hiring for skills related to your product are likely evaluating vendors
- Who’s using a competitor: companies mentioning a competing product in their job postings are actively using it, making them prime targets for displacement
- Who’s building new capabilities: first-time mentions of a technology mean the company is investing in something new
- Who has budget: companies hiring for new technical roles have already allocated budget for that area
When a company starts mentioning a new technology in its job postings, it’s typically 2-4 weeks into its evaluation process. Early enough for you to get involved.
How Sentrion detects technology changes
Sentrion analyzes job descriptions to identify technology mentions and tracks them over time. This goes deeper than tools like BuiltWith or HG Insights, which only see technologies on a company’s website. Sentrion infers technologies from job postings, catching internal tools, emerging tech, and migration signals that website scanners can’t see. What you can track:- Which companies are mentioning a specific technology for the first time
- Trends across industries showing which technologies are gaining or losing adoption
- Geographic patterns in technology adoption
- Related technologies appearing in the same postings (e.g., a company mentioning both Kubernetes and Terraform is building cloud-native infrastructure)
Examples
| Signal | What it means | How to act |
|---|---|---|
| Company posts roles mentioning your competitor’s product | They’re using a competing solution | Position your product as an alternative |
| First-ever job posting mentioning “Kubernetes” | Adopting container orchestration | Offer K8s services, monitoring, or security tools |
| Spike in AI/ML role postings | Investing in artificial intelligence | Reach out with AI infrastructure or consulting |
| Job posts mention “AWS” or “cloud migration” | Cloud migration underway | Offer cloud migration services or tools |
| Multiple “data engineer” roles mentioning “Snowflake” | Building a modern data stack | Sell complementary data tools |
Reading adoption stages
Technology signals tell you not just what a company is adopting, but where they are in the process:- Early adoption: hiring first specialists (e.g., “Platform Engineer” with K8s requirements). They’re building infrastructure and need foundational tools.
- Growth: hiring experienced practitioners (e.g., “SRE” with K8s experience). They’re scaling and need monitoring, security, and optimization.
- Migration: job descriptions mentioning “migration to [technology]” or “containerization.” Greenfield opportunities.
- Mature usage: multiple senior roles with the technology as a requirement. They may need advanced tooling or consulting.
Tutorial: Find companies adopting Kubernetes
When a company starts hiring for specific technologies, it means they’re investing in that stack and likely need complementary tools and services. Follow these steps to build a Kubernetes adoption campaign.Describe your technology search
In the “Use AI to generate filters” section:
- Type: “Find companies adopting Kubernetes”
- Click the send button
Review the generated filters
The AI recognizes that Kubernetes adoption manifests through hiring patterns and configures:
- AI Signal Scoring: enabled (threshold: 4) to score companies by K8s adoption signals
- Signal Date Range: last 3 months
- Job Keywords: approximately 68 keywords spanning the Kubernetes ecosystem:
- Core: “Kubernetes,” “K8s,” “container orchestration”
- Related: “Docker,” “Helm,” “Istio,” “service mesh”
- Roles: “DevOps engineer,” “SRE,” “Platform engineer,” “Cloud architect”
- Cloud platforms: “EKS,” “GKE,” “AKS” (managed K8s services)
- Exclude Keywords. 4 exclusion terms
Review the Companies tab
Results reveal companies actively building Kubernetes capabilities:
- Score: higher scores indicate stronger K8s adoption signals (multiple related postings, senior-level roles)
- Match Reason: whether they’re hiring K8s specialists or adding K8s requirements to existing roles (both are meaningful but indicate different adoption stages)
- Keywords Matched: tells you which specific technologies in the K8s ecosystem they’re working with
Analyze the Signals tab
The Signals tab reveals:
- Specific job descriptions mentioning Kubernetes
- Which cloud platforms they’re using (AWS EKS, Google GKE, Azure AKS)
- Whether they’re looking for migration expertise (new adoption) or optimization (mature usage)
- Related technologies in the same postings (Terraform, ArgoCD, Prometheus)
| Setting | Value |
|---|---|
| AI Prompt | ”Find companies adopting Kubernetes” |
| AI Signal Scoring | Enabled (threshold: 4) |
| Job Keywords | ~68 Kubernetes ecosystem keywords |
| Signal Date Range | Last 3 months |
Pro tips
- Understand the adoption stage: early adopters (hiring first K8s engineers) need different products than mature users (hiring SREs and Platform Engineers)
- Cross-reference technologies, if a company mentions both Kubernetes and Terraform, they’re building cloud-native infrastructure (a stronger signal than K8s alone
- Watch for migration signals: job postings mentioning “migration to Kubernetes” or “containerization” indicate greenfield opportunities
- Set up ongoing monitoring: enable Automation to track new K8s adoption signals weekly
- Combine with company filters: add Industry (e.g., Fintech, Healthcare) or Company Size to focus on your ideal segments
- Try related searches: substitute “Kubernetes” with “Terraform,” “Datadog,” “Snowflake,” or any other technology to build tech-stack-specific campaigns