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Technology

Adobe Prelude

Last fetched

Adobe Prelude is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under tag management, with a published adopter count of 18 hostnames.

Profile

Category
tag management
Broader grouping
intelligence and analytics
Published adopter count
18
Vendor
adobe.com

Adobe Prelude is a video logging and ingest tool designed for filmmakers and editors. It allows users to organize, tag, and annotate video footage efficiently. Prelude integrates seamlessly with Adobe Premiere Pro, streamlining the editing workflow. Its focus on metadata management enhances collaboration and improves project organization throughout the production process.

Vendor site: https://www.adobe.com/uk/products/prelude.html

Sample adopters

17 hostnames WhisperGraph observed running Adobe Prelude, a sample of the 18 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 17 Adobe Prelude adopters, not of all 18 published adopters. A hostname counts once per network.

Related pages

Pivot from Adobe Prelude 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.