Company profile
Fame
Live profile
Honestly, I think you're leaving money on the table..." Ryan Hogan. Partner at Talent Harbor. Ryan Hogan. team@fame.so. Company. What We Do · Referral Program ...
51-200
AI Classification
No deep intelligence yet
Run a full profile to see buying signals, account scoring, pain signals, and recommended contacts for Fame.
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Fame is one of 2,671 B2B companies in the Kustiq directory.
Fame sits among 30 institution companies in our Education directory.
Similar profiles: Loom, Betterworks, Appcues, and Avoma.
Both sit in the 51-200 headcount band. See Fame vs Loom side by side.
Both sit in the 51-200 headcount band. See Fame vs Betterworks side by side.
Both sit in the 51-200 headcount band. See Fame vs Appcues side by side.
How Fame compares with other Institution companies
Fame is one of 30 Institution companies profiled in the Kustiq Education directory, which holds 165 Education companies in total. Every number below is computed from those profiles.
Fame sits in the 51-200 headcount band. 58% of the 19 segment peers with a known team size are smaller. 11% of those peers share the same band.
The most common tech detections across the 7 peers with a visible stack are Cloudflare (57%), nginx (57%), and jQuery (43%). Fame lists none of them.
The median founding year across 7 peers with a known founding date is 1994.
Piscataway is the most common HQ city in this segment, home to 14% of the 7 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 fame.so 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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