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Mind Amplifiers - MindAmplifiers: tools, ideas, and experiments to stretch what a human mind can do. — 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
ahmedhabib.com ↗	68 match 1 shared topics	Ideas, tools, and creative exploration — Ahmed Habib	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
aepsych.org ↗	67 match 1 shared topics	AEPsych · Adaptive experimentation for human perception and perceptually-informed outcomes	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
sayujyagupta.com ↗	66 match 1 shared topics	Sayujya Gupta \| AI Systems, Products, and Experiments	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
markjohnes.com ↗	66 match 1 shared topics	Mark Johnes - Product Strategy & AI Experiments	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
deryabalci.com ↗	66 match 1 shared topics	Derya Balci \| AI Workflows, Growth Systems & Product Experiments	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
desdevpro.com ↗	66 match 1 shared topics	Desdevpro \| Notes on my experiments with open hardware and software - Subir Chowdhuri	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
simplifyshine.com ↗	66 match 1 shared topics	Simplify & Shine - AI tools, tutorials, and resources for creators	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
tstbl.co ↗	66 match 1 shared topics	Testable \| Build experiments & surveys \| Recruit participants	Colombia en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
4iran.org ↗	66 match 1 shared topics	Iran Amplifier - Amplify the voice of a nation	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
mcp0.com ↗	65 match 1 shared topics	MCP0 – Model Context Protocol (MCP) Tools, Servers, Docs, and Examples	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
jayrajmakhar.com ↗	65 match 1 shared topics	Jayraj Makhar \| Product Thinking, Systems & Experiments	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
agentsandarchitects.com ↗	65 match 1 shared topics	Agents + Architects — AI Agent Tools, Tips, News, and Meetups	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
wearecentaurs.com ↗	64 match 1 shared topics	WeAreCentaurs - Human x AI	en	artificial-intelligence	robots llmsaihumans	emailphone	none
ai-virtus.com ↗	64 match 1 shared topics	AIVirtus - AI Tools and Resources	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
mcp-express.com ↗	64 match 1 shared topics	MCP Express \| Connect AI Agents to Your Infrastructure Tools	en	artificial-intelligence	robotsllmsaihumans	email phone	none
ai360xpert.com ↗	64 match 1 shared topics	AI360Xpert — AI Tutorials, Tools & Expert Solutions	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
martyfi.com ↗	64 match 1 shared topics	Martyfi — AI Marketplace for Tools, Agents & Prompts	en	artificial-intelligence	robots llmsaihumans	emailphone	none
360developmentnetwork.com ↗	64 match 1 shared topics	Product 360: AI-Powered Product Strategy Framework, Product-led growth tools, and Outcome-based roadmaps, AI PM Courses and Certification	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.