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Technology

Go Instore

Last fetched

Go Instore is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under live streaming platforms, with a published adopter count of 82 hostnames.

Profile

Category
live streaming platforms
Broader grouping
audio, video, graphics
Published adopter count
82
Vendor
goinstore.com

Go Instore is a B2B live shopping and video commerce platform that enables brands and retailers to connect with customers in real time. It offers tools for interactive video calls, co-browsing, and screen sharing to enhance remote customer engagement. The platform integrates with e-commerce systems to support personalized shopping experiences and virtual consultations.

Vendor site: https://goinstore.com

Sample adopters

20 hostnames WhisperGraph observed running Go Instore, a sample of the 82 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 20 Go Instore adopters, not of all 82 published adopters. A hostname counts once per network.

Related pages

Pivot from Go Instore 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.