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Technology

Wisecut.video

Last fetched

Wisecut.video is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under software as a service, with a published adopter count of 19 hostnames.

Profile

Category
software as a service
Broader grouping
software development
Published adopter count
19
Vendor
wisecut.ai

Wisecut.video is an AI-powered video editing platform designed for businesses to create short, social media-ready clips from longer videos and podcasts. It automates the editing process by detecting key moments, removing silences, adding captions, enhancing speech clarity, and adjusting video framing for various formats, enabling efficient content repurposing.

Vendor site: https://www.wisecut.ai/

Sample adopters

19 hostnames WhisperGraph observed running Wisecut.video, a sample of the 19 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 19 Wisecut.video adopters, not of all 19 published adopters. A hostname counts once per network.

Related pages

Pivot from Wisecut.video 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.