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Technology

Wrenly.ai

Last fetched

Wrenly.ai is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under team collaboration, with a published adopter count of 7 hostnames.

Profile

Broader grouping
communication and collaboration
Published adopter count
7
Vendor
wrenly.ai

Wrenly.ai is a business software platform designed to enhance organizational feedback culture. It integrates with communication tools like Slack and Microsoft Teams to facilitate a psychologically safe environment for employee feedback. Features include suggestion boxes, surveys, peer recognitions, rewards, performance reviews, and goal tracking, all supported by artificial intelligence to improve employee engagement and recognition processes.

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

Sample adopters

7 hostnames WhisperGraph observed running Wrenly.ai, a sample of the 7 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 7 Wrenly.ai adopters, not of all 7 published adopters. A hostname counts once per network.

Related pages

Pivot from Wrenly.ai 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.