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BASimulation.org | Open source "Behavior Analytic Simulations" based on a biobehavioral selectionist neural network model. — 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
eannconf.org ↗	67 match 1 shared topics	EANN Conference - International Conference on Engineering Applications of Neural Networks	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
triangleanalytics.com ↗	67 match 1 shared topics	Triangle Analytics — Behavioral Systems	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
enot.ai ↗	67 match 1 shared topics	Main: Enot — neural network compression & acceleration	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
kwiksim.com ↗	66 match 1 shared topics	KWIKSIM — Simulation-Based AI	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
henniglab.org ↗	66 match 1 shared topics	Hennig Lab – Learning and Optimization in Neural Populations	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
acsg2.com ↗	66 match 1 shared topics	Explore Simulation – Models, Simulations and Games	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
icatrusted.ai ↗	66 match 1 shared topics	Behavioral Relationship Intelligence \| ICA AI	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
icatrusted.com ↗	66 match 1 shared topics	Behavioral Relationship Intelligence \| ICA AI	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
robotnet.ai ↗	66 match 1 shared topics	Robot Networks	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ownlocalml.com ↗	66 match 1 shared topics	OwnLocalML - Time Series Forecasting with Neural Networks	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
aieclipse.org ↗	65 match 1 shared topics	AI at the Eclipse Foundation: Open Source Innovation in AI	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
airmatix.tech ↗	65 match 1 shared topics	AIRMATIX - AI Customer Behavior Analytics \| Predict Lifetime Value & Churn	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
chatsimulation.com ↗	65 match 1 shared topics	Chat Simulation	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
chatroutes.com ↗	65 match 1 shared topics	ChatRoutes - Open Source AI Conversation Branching Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
rodolfo-mendes.com ↗	65 match 1 shared topics	Rodolfo Mendes - I help professional backend developers to participate on open source AI projects to practice their skills, gain experience and expand their network so they have an international career.	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
ideatrek.io ↗	65 match 1 shared topics	Roger Hunt — PhD Researcher in Organizational Theory \| AI Engineer \| Cursor Ambassador, Boston \| Open Source Advocate	en	artificial-intelligence	robots llmsaihumans	emailphone	none
robotoad.com ↗	65 match 1 shared topics	AI Red — Custom neural networks & computer vision development	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
analogueai.org ↗	65 match 1 shared topics	AnalogueAI Labs — PWM Neural Network Acceleration	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.