Company profile
Americanbusinesshistory
Live profile
The purpose of the American Business History Center, a 501(c)3 non-profit corporation, is to create a nexus or hub for the study, popularization, and ...
AI Classification
The American Business History Center is a donation-funded nonprofit publishing free articles, videos, newsletters, and data resources about American industry and business leaders across history. It serves general learners, students, and business history enthusiasts with no paywalled content.
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Americanbusinesshistory is one of 2,673 B2B companies in the Kustiq directory.
Americanbusinesshistory sits among 61 foundation / ngo companies in our Nonprofit directory.
How Americanbusinesshistory compares with other Foundation/NGO companies
Americanbusinesshistory is one of 61 Foundation/NGO 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 17 peers with a visible stack are Cloudflare (53%), Google Analytics (47%), and jQuery (47%). Americanbusinesshistory lists none of them.
The median founding year across 17 peers with a known founding date is 1997.
Dallas is the most common HQ city in this segment, home to 10% of the 10 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 americanbusinesshistory.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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