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Technology

eFinesstri

Last fetched

eFinesstri is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under association management, with a published adopter count of 4 hostnames.

Profile

Category
association management
Broader grouping
communication and collaboration, sales, operations
Published adopter count
4
Vendor
finesstri.com

eFinesstri was a membership and operations management software platform used by non-profit organizations such as YMCAs and community centers to manage memberships, programs, scheduling, CRM, and reporting. It was developed by Applications Research Corporation (ARC), and its original website is no longer active, indicating it has been discontinued or has a very limited current presence.

Vendor site: http://www.finesstri.com

Sample adopters

4 hostnames WhisperGraph observed running eFinesstri, a sample of the 4 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 4 eFinesstri adopters, not of all 4 published adopters. A hostname counts once per network.

Related pages

Pivot from eFinesstri 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.