SAMPLE BRIDGE Firmographic Data US Business Top Ranked B2B Marketing Data Get the
From AltData.wiki, The Alternative Data Encyclopedia
Bridge/SAMPLE BRIDGE Firmographic Data US Business Top Ranked B2B Marketing Data Get the is a Technographics & Tech Stacks data product published on databricks-marketplace and indexed by The Alternative Data Encyclopedia.
Bridge publishes SAMPLE BRIDGE Firmographic Data US Business Top Ranked B2B Marketing Data Get the as a databricks-marketplace offering in the Technographics & Tech Stacks signal family.
The data
Bridge 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
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