Company profile
Acrlog
Live profile
... Founded in 1940, ACRL is committed to advancing learning and transforming ... Musings on Search Committees https://acrlog.org.
1940
nginx
AI Classification
ACRLog (acrlog.org) is the official blog of the Association of College and Research Libraries (ACRL), a nonprofit division of the American Library Association founded in 1940 that serves approximately 8,500 academic and research librarians through membership programs, publications, and professional development.
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Tech Stack
Infrastructure
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Social Links
Competitors
Acrlog is one of 2,671 B2B companies in the Kustiq directory.
Acrlog sits among 43 association / membership companies in our Nonprofit directory.
Similar profiles: Betterworks, Amplitude, Hotnews, and Genesys.
How Acrlog compares with other Association/Membership companies
Acrlog is one of 43 Association/Membership companies profiled in the Kustiq Nonprofit directory, which holds 136 Nonprofit companies in total. Every number below is computed from those profiles.
The most common tech detections across the 19 peers with a visible stack are nginx (53%), jQuery (37%), and Google Analytics (26%). Acrlog runs nginx.
The median founding year across 10 peers with a known founding date is 1976. Acrlog was founded in 1940.
Arlington is the most common HQ city in this segment, home to 20% of the 5 peers with a known location.
Benchmarks are recomputed from live directory data, so they move as profiles refresh. Counts cover Kustiq-profiled companies, not the whole market.
How this profile was built
- Live web rendering via Browserless headless Chrome, not a stale cached scrape.
- Search intelligence via Serper API across the company site, LinkedIn, press, and GitHub.
- Claude only picks the buckets. It never decides facts.
- 12-factor churn engine. Deterministic score, zero LLM at scoring time.
- SMTP RCPT TO handshake on every contact, at delivery time on full profiles (paid plan).
This profile was built from 1 rendered page of acrlog.org and search coverage across the live web on .
Read the full methodology in our LLM-readable reference or compare against the deterministic-vs-AI framework.
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