Technology
Algolia Realtime Search
Last fetched
Algolia Realtime Search is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under search engines, with a published adopter count of 11,133 hostnames.
Profile
- Category
- search engines
- Broader grouping
- web tools and plugins
- Published adopter count
- 11,133
- Vendor
- algolia.com
Algolia Realtime Search is a cloud-based search and discovery API that delivers fast, AI-powered search results for websites and applications. It offers features like real-time indexing, typo tolerance, and personalization to enhance user experience. Commonly used in e-commerce, SaaS, and media, Algolia helps businesses improve search relevance and speed with minimal development effort.
Vendor site: http://www.algolia.com
Sample adopters
20 hostnames WhisperGraph observed running Algolia Realtime Search, a sample of the 11,133 published adopters.
Hosting concentration
The networks announcing the IP addresses of a sample of 20 Algolia Realtime Search adopters, not of all 11,133 published adopters. A hostname counts once per network.
Related pages
Pivot from Algolia Realtime Search 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.