SAMPLE Firmographic Data for all Businesses in Austria 637 000 Businesses
From AltData.wiki, The Alternative Data Encyclopedia
Techsalerator/SAMPLE Firmographic Data for all Businesses in Austria 637 000 Businesses is a Technographics & Tech Stacks data product published on databricks-marketplace and indexed by The Alternative Data Encyclopedia.
Techsalerator publishes SAMPLE Firmographic Data for all Businesses in Austria 637 000 Businesses as a databricks-marketplace offering in the Technographics & Tech Stacks signal family.
The data
Techsalerator maintains it as part of its Technographics & Tech Stacks portfolio and lists it through databricks-marketplace.
Structure, access and licensing
License: other. Pricing: Free (Databricks Marketplace).
Access is through a dataset that is obtained from the databricks-marketplace listing. The listing does not state an explicit refresh schedule, which is worth confirming before backtesting.
The signal
Detection of technology stacks per company: which technologies each business uses, with evidence and date of observation, plus adoption-change events.
Stack changes flag investment, migrations and vendor churn before they surface in revenue or surveys. Rows typically map a company to a technology, a detection method (DNS, certificate, pixel, job ad) and a first/last-seen date. The derived layer adds adoption and abandonment events.
Vendors combine several collection techniques: crawling public web assets and partner badges, scanning DNS records and TLS certificates, and reading hiring signals from job postings. Each detection carries a confidence score and a timestamp, and change-detection pipelines compare successive snapshots to emit adoption and abandonment events rather than raw states.
For a first-party benchmark in this category, see TheirStack and its technographics dataset, indexed on this hub with delivery, history and refresh details.
Caveats and compliance
Detection coverage is uneven across stacks; web-only signals miss back-office software. History depth matters because change events, not stock levels, drive most of the alpha.
Signals are derived from public web artifacts and job ads, so personal-data exposure is low. Buyers should still check scraping terms of service and ensure job-posting text is stripped of applicant names before use.
Who uses this signal
Software equity analysts, GTM teams and VC read stack changes as churn, migration and investment signals.
Complementary signals
This kind of signal pairs naturally with adjacent categories of the encyclopedia:
Further reading
Discussion
Anchored on 𝕏 with the commit-style tag #… —
tweet with it and the thread picks it up.
No comments yet — start the thread on 𝕏.
More in Technographics & Tech Stacks
Machine learning based tools that provide explainability, stewardship analytics, and governance visibility for master data quality.
A database of electric, hybrid, and plug-in vehicle owners comprising 4.4 million postal addresses and 2.9 million email addresses.
A targeted audience of recent model vehicle owners with more than 14 million postal records and 8.9 million emails on file.
Target consumers who have just relocated, capturing their attention when demand for goods and services typically peaks.
Connect with property owners currently marketing their houses for sale.
Engage recent homebuyers during their high-spending phase, with roughly 125,000 new owners reached per month.