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Digestable AI - Making AI Accessible and Understandable — 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
ageforai.com ↗	69 match 2 shared topics	Age for AI — Understand AI Without Drowning In It	en	artificial-intelligence WordPress	robots llmsaihumans	emailphone	none
nov8.co ↗	66 match 2 shared topics	Innov8 Technologies Inc \| Innovative AI and Machine Learning Perspectives	Colombia en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ai.google ↗	66 match 2 shared topics	Google AI - How we're making AI helpful for everyone	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
thisweek.ai ↗	66 match 2 shared topics	This Week in AI - Weekly Newsletter and AI News App \| This Week in AI - Weekly Newsletter	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
pagepod.app ↗	66 match 2 shared topics	PagePod — read less, understand more	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
gamor.ai ↗	66 match 2 shared topics	Gamor AI - The Future is Coming	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
7bits.io ↗	66 match 2 shared topics	7bits.io - Daily Digest in Tech, AI and Patents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
padhoai.com ↗	66 match 2 shared topics	PadhoAI - Stay Updated on AI, Generative AI, and Machine Learning	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
sourced.tech ↗	66 match 2 shared topics	source{d} - Machine Learning for Large Scale Code Analysis	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
jaketracey.com ↗	66 match 2 shared topics	Thoughts on accessibility, user experience and technology. \| Jake Tracey	en	technology-and-computing	robotsllmsaihumans	emailphone	none
actingweb.net ↗	66 match 2 shared topics	ActingWeb – Making People Important in the AI Agent World	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
actingweb.org ↗	66 match 2 shared topics	ActingWeb – Making People Important in the AI Agent World	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
wathmore.com ↗	65 match 2 shared topics	WATHMORE	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
web-devil.com ↗	65 match 2 shared topics	web devil - Insights in Software Engineering, Digital Leadership and Artificial Intelligence	en	technology-and-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
parabolaresearch.com ↗	65 match 2 shared topics	Parabola - Media Processing and R&D Leadership	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
scaledinference.com ↗	65 match 2 shared topics	Scaled Inference \| Artificial Intelligence & Machine Learning Tools	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
mariushobbhahn.com ↗	65 match 2 shared topics	Machine Learning is Linear Algebra - This is the blog of Marius Hobbhahn. I'm interested in understanding AI systems better and use that understanding to make them safer.	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
panasarts.com ↗	65 match 2 shared topics	Generative AI and ML Insights – Exploring advancements, tools, and applications in generative AI and machine learning, fostering learning and innovation.	en	artificial-intelligence WordPress WooCommerce	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.