Skip to content

Technology

Seedance 2.0

Last fetched

Seedance 2.0 is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under generative ai, with a published adopter count of 43 hostnames.

Profile

Broader grouping
web tools and plugins
Published adopter count
43

Seedance 2.0 is an AI-powered video generation technology developed by ByteDance that creates high-quality videos from text prompts, images, audio, or video inputs. It integrates multiple input types into cinematic clips with consistent motion, scenes, and characters, enabling businesses to rapidly produce realistic video content from concept descriptions or reference materials.

Vendor site: https://seed.bytedance.com/en/seedance2_0

Sample adopters

20 hostnames WhisperGraph observed running Seedance 2.0, a sample of the 43 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 20 Seedance 2.0 adopters, not of all 43 published adopters. A hostname counts once per network.

Related pages

Pivot from Seedance 2.0 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.