b2b-technographic-data-in-serbia
techsalerator alternative data dataset · Technographics & Tech Stacks
This record remains browsable while its source metadata is incomplete. It is excluded from search indexing until the category and core fact-sheet fields meet the encyclopedia's quality threshold.
techsalerator/b2b-technographic-data-in-serbia is a Technographics & Tech Stacks data product published on Kaggle and indexed by The Alternative Data Encyclopedia.
Techsalerator publishes b2b-technographic-data-in-serbia as a Kaggle offering in the Technographics & Tech Stacks signal family. The listing has drawn 33 downloads and 1 like on Kaggle.
The data
Techsalerator maintains it as part of its Technographics & Tech Stacks portfolio and lists it through Kaggle.
The source tags it with business and internet.
Structure, access and licensing
License: Apache 2.0. Size: 12108. Delivery: Download. Last updated: 2024-09-13.
Access is through a dataset that is downloaded from Kaggle for use in a notebook. Its most recent recorded snapshot is from 2024-09-13.
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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