Technology
Digismoothie Candy Rack
Last fetched
Digismoothie Candy Rack is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under web platform extensions, with a published adopter count of 10,378 hostnames.
Profile
- Category
- web platform extensions
- Broader grouping
- web tools and plugins
- Published adopter count
- 10,378
- Vendor
- digismoothie.com
Digismoothie Candy Rack is an upsell and cross-sell app for Shopify that helps merchants increase average order value by offering one-click upsells, bundle discounts, and post-purchase offers. It features AI-driven recommendations, customizable designs, and seamless checkout integration to enhance the shopping experience and boost revenue.
Vendor site: https://www.digismoothie.com/apps/candy-rack
Sample adopters
20 hostnames WhisperGraph observed running Digismoothie Candy Rack, a sample of the 10,378 published adopters.
Hosting concentration
The networks announcing the IP addresses of a sample of 20 Digismoothie Candy Rack adopters, not of all 10,378 published adopters. A hostname counts once per network.
Related pages
Pivot from Digismoothie Candy Rack 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,
candidatesRun 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 200Run yourself →Or query Whisper from your own LLM workflow via the Whisper MCP server.