Companies Using Any Technology - Tech Stack from Job Posts

Find the companies that use a technology, from what they write in their own job postings. Search for Snowflake, Kubernetes, dbt, Salesforce, Rust, LangChain or any of 216 technologies, and get one row per company with its domain, the postings that prove it, and its full tech stack.

Website detectors see a company's frontend. Job postings show what runs behind it: the data warehouse, the infrastructure, the sales tools. Every answer here comes from a posting you can open and read.

Quick start

{
  "technologies": ["Snowflake", "dbt"],
  "match": "all",
  "maxResults": 100
}

• technologies: names as people write them; k8s, Postgres and GCP work too.
• categories: a whole category instead, e.g. data-warehouse, observability, crm-sales, llm, iac.
• match: any (default) returns companies using at least one; all returns companies using every one.
• maxResults: the most companies returned and charged. The strongest matches come first.

Get only new adopters

Turn on onlyNew and schedule the Actor weekly. It remembers which companies it already gave you (per stateName) and skips them. Skipped companies are not charged, so each run costs only the new companies.

Output

One item per company. A real one from the test index (September 2026), searching for Snowflake with includeStack on. stack is cut to its first six of 25 entries here.

{
  "company": "Granica",
  "domain": "granica.ai",
  "domainConfidence": "high",
  "jobBoardUrl": "https://jobs.ashbyhq.com/granica",
  "ats": "ashby",
  "matchedTechnologies": [
    {"name": "Snowflake", "category": "data-warehouse", "postings": 5, "share": 0.455,
     "evidence": ["https://jobs.ashbyhq.com/granica/bc159dc0-98eb-4e63-a750-52ba975186ec",
                  "https://jobs.ashbyhq.com/granica/165a62b6-014d-4d83-a800-a0ff3b205745",
                  "https://jobs.ashbyhq.com/granica/dd24067b-7bb0-43f8-bb8f-ad679095078f"]}
  ],
  "openPostings": 11,
  "engineeringPostings": 8,
  "indexedAt": "2026-09-28T10:49:11+00:00",
  "stack": [
    {"name": "Apache Spark", "category": "data-processing", "postings": 5},
    {"name": "Databricks", "category": "data-warehouse", "postings": 5},
    {"name": "Python", "category": "language", "postings": 5},
    {"name": "Snowflake", "category": "data-warehouse", "postings": 5},
    {"name": "Delta Lake", "category": "data-processing", "postings": 4},
    {"name": "Java", "category": "language", "postings": 4}
  ]
}

• domain is the company's own website. domainConfidence is high when the company set it on its job board or linked it in its postings, and medium when it is a verified guess (about 95% right in our checks). It is null when no domain was found.
• evidence links up to three postings that mention the technology.
• share is the fraction of the postings read (up to 50 per company) that mention it.

How it works

Talaria keeps an index of about 10,000 companies with open job boards on Greenhouse, Ashby, Workday and Lever, rebuilt weekly from their public posting APIs. A technology counts for a company when at least 2 of its postings, or 10% of them, mention it, or its standard "about us" text does. minPostings and minShare under Advanced change those thresholds.

The matching is a curated dictionary, not guesswork. Words that are also technology names ("Go to market", "Snowflake schema", "Spring semester") are handled. Mentions of customers and investors ("brands like HubSpot use us") are dropped. In a hand check of 20 companies, 85 of 86 reported technologies were right.

Pricing

Event	Price
Company found	$0.003 per company ($3 per 1,000)
Actor start	$0.00005 per run

You pay only for companies returned. A search with no matches, and companies skipped by onlyNew, cost nothing, and maxResults caps the bill: 100 companies cost at most $0.30. To try it, set maxResults to 10.

Limits

• Companies without a public job board on these four ATSs are not in the index, and neither are technologies their postings never mention.
• Lever boards are underrepresented.
• indexedAt shows when a company's postings were last read. The index is rebuilt weekly.

Data and privacy

The index holds company names, technology names, counts and public posting URLs. It holds no personal data: no recruiter names, emails or phone numbers. Postings are read from the ATSs' public APIs with a self-identifying client that respects robots.txt.