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For leaders accountable for mission delivery and AI-answer visibility. | Prometheus Computing — 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
beacen.com ↗	65 match 2 shared topics	Beatty and Company Computing Inc.	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
bmcsoftware.ca ↗	65 match 2 shared topics	Automation Company for the AI Era – BMC Software	Canada en	artificial-intelligence Adobe Experience Manager	robotsllmsaihumans	emailphone	none
compute-gardener.com ↗	64 match 2 shared topics	Carbon-Aware Kubernetes Scheduling & Green Computing	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ata.network ↗	64 match 2 shared topics	Automata - Verifiable machines for Web3 and AI	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
computingseries.com ↗	64 match 2 shared topics	The Computing Series — Shared engineering vocabulary for you and your AI coding agent	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
mchisty.com ↗	64 match 2 shared topics	M Chisty – Java Blog – Distributed Computing	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
algo3.net ↗	64 match 2 shared topics	Algo3 provide top-tier engineers and AI-powered solutions from full-stack development to multi-agent AI systems.	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
16x.engineer ↗	64 match 2 shared topics	16x Engineer \| Products and Resources for AI and Software Engineering	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
computerprogress.com ↗	63 match 2 shared topics	Computer Progress	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ctxl.ai ↗	63 match 2 shared topics	Context engineering platform for production-grade AI \| Contextual AI	United States~ en	artificial-intelligence Sanity	robots llmsaihumans	emailphone	none
voidkat.com ↗	63 match 2 shared topics	Farhad Agzamov - Applied AI Engineer & Engineering Leader	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
computationaltoken.com ↗	63 match 2 shared topics	Computational Token Research \| NLP, Blockchain & Formal Verification Analysis	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 5
mays.co ↗	63 match 2 shared topics	Steven Mays — Lead AI Engineer	Colombia en	artificial-intelligence	robotsllmsaihumans	emailphone	none
diasporablog.net ↗	63 match 2 shared topics	Diaspora Blog - Wishing You Innovation, Progress, and Endless Possibilities in Technology!	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	partial · 8
mdcreator.net ↗	63 match 2 shared topics	MDCreator — AI Spec Generator for Vibe Coders & AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
bump.sh ↗	63 match 2 shared topics	Build APIs for humans and agents · Bump.sh	en	artificial-intelligence Lightspeed	robotsllmsaihumans	emailphone	none
langwatch.ai ↗	63 match 2 shared topics	AI Agent Testing and Evaluation \| LangWatch	en	artificial-intelligence	robots llmsaihumans	emailphone	none
ms2.co ↗	63 match 2 shared topics	The Context Engine for the AI Era \| Credible Data	Colombia 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.