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Technology

Dyte

Last fetched

Dyte is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under live streaming platforms, with a published adopter count of 8 hostnames.

Profile

Category
live streaming platforms
Broader grouping
audio, video, graphics
Published adopter count
8
Vendor
dyte.io

Dyte is a developer-friendly, real-time audio and video communication software development kit (SDK) that enables the integration of interactive video, voice, and messaging features into applications. It provides APIs and pre-built UI components for building experiences such as live streaming, virtual events, and one-on-one or group calls. Designed for scalability, Dyte supports web, mobile, and desktop platforms with low-latency infrastructure.

Vendor site: https://dyte.io

Sample adopters

8 hostnames WhisperGraph observed running Dyte, a sample of the 8 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 8 Dyte adopters, not of all 8 published adopters. A hostname counts once per network.

Related pages

Pivot from Dyte 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.