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Technology

Condens

Last fetched

Condens is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under analytics, with a published adopter count of 27 hostnames.

Profile

Category
analytics
Broader grouping
intelligence and analytics, customer service, audio, video, graphics
Published adopter count
27
Vendor
condens.io

Condens is a user research repository and analysis platform that enables teams to centralize, organize, and share customer insights from various research activities. It supports the collection and analysis of data from interviews, usability tests, surveys, and feedback sources, aiding UX researchers, designers, and product managers in turning raw data into actionable insights to inform business decisions.

Vendor site: https://condens.io/

Sample adopters

20 hostnames WhisperGraph observed running Condens, a sample of the 27 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 20 Condens adopters, not of all 27 published adopters. A hostname counts once per network.

Related pages

Pivot from Condens into its category and the vendor behind it.

Queries

Resolves the slug's technology-name candidate(s) and projects the winner's fields.


MATCH (t:TECHNOLOGY)
WHERE t.name =~ $pattern
WITH t ORDER BY t.adopterCount DESC, t.name ASC
WITH collect(t)[0] AS winner, count(t) AS candidates
RETURN winner.name AS name,
       winner.description AS description,
       winner.category AS category,
       winner.parentCategories AS parentCategories,
       winner.adopterCount AS adopterCount,
       winner.url AS url,
       winner.vendorApex AS vendorApex,
       candidates
Run yourself →

Reads a 20-host adopter sample and the ASNs announcing its IP addresses.


MATCH (:TECHNOLOGY {name: $name})<-[:RUNS_TECHNOLOGY]-(h:HOSTNAME)
WITH h LIMIT 20
OPTIONAL MATCH (h)-[:RESOLVES_TO]->(:IPV4)-[:ANNOUNCED_BY]->(ap:ANNOUNCED_PREFIX)
OPTIONAL MATCH (a:ASN)-[:ROUTES]->(ap) WHERE a.name IS NOT NULL
RETURN h.name AS host, a.name AS asn
LIMIT 200
Run yourself →

Or query Whisper from your own LLM workflow via the Whisper MCP server.