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Justin Stevens – Machine Learning Researcher on AI for Education — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
observablecompute.org ↗	65 match 2 shared topics	Observable Compute Foundation \| Independent AI Research	United States~ en	artificial-intelligence	robots llmsaihumans	emailphone	none
1dollarprompt.com ↗	65 match 2 shared topics	Find your perfect AI prompt from only one dollar $ – AI for educators	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ashimasitaula.com ↗	64 match 2 shared topics	Ashima Sitaula, PhD — Learning & Development Portfolio	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
realdegrees.net ↗	64 match 2 shared topics	REALdegrees - College Transcript Verification for the AI Era	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
realdegrees.ai ↗	64 match 2 shared topics	REALdegrees - College Transcript Verification for the AI Era	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
turnitin-ai-checker.com ↗	64 match 2 shared topics	Turnitin AI Checker - Free AI Detector for Essays	en	artificial-intelligence	robots llmsaihumans	emailphone	none
chatacademia.com ↗	64 match 2 shared topics	ChatAcademia — Supercharge Your Research With ChatAcademia	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
edblogcast.com ↗	64 match 2 shared topics	edblogcast.com – At the intersection of research, innovation, and responsibility.	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
humanintelligencemethod.org ↗	63 match 2 shared topics	The Human Intelligence Method — A manifesto for educators in the age of AI	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
humanintelligencemethod.com ↗	63 match 2 shared topics	The Human Intelligence Method — A manifesto for educators in the age of AI	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
edainow.com ↗	63 match 2 shared topics	EdAINow – Empowering Today's Educators–with AI	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
photoninkai.com ↗	63 match 2 shared topics	Photon Ink AI \| The Digital Senior Research Fellow	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
askprofessorperfect.com ↗	63 match 2 shared topics	Ask Professor Perfect — Free AI Advice for Teachers	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
houseofchrys.com ↗	63 match 2 shared topics	House of Chrys - Preparing African Children for the AI Future	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
iai2o-official.org ↗	62 match 2 shared topics	International AI Innovation Olympiad	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
mikepaul.com ↗	62 match 2 shared topics	Mike Paul – Reflections from the edge of the singularity.	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
hraf.net ↗	62 match 2 shared topics	Ethnographic Data Science and eHRAF: inferring cultural patterns from ethnographic writing \| Human Relations Area Files	en	artificial-intelligence WordPress	robotsllmsaihumans	email phone	none
checkin-ai.com ↗	62 match 2 shared topics	CheckIn AI — Uncover Student Thinking Without the Grading Grind	en	artificial-intelligence	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.