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VoiceFirst Weekly – The community at the intersection between technical and human landscapes of voice as a human machine interface — 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 Technology And Computing →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
atlasml.io ↗	65 match 2 shared topics	Hugging Face – The AI community building the future.	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
inteldevops.ai ↗	64 match 2 shared topics	Intel DevOps AI \| Machine Intelligence for the Intelligence Mission	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
voozle.ai ↗	64 match 2 shared topics	VoozleBot — Your Community's Raid Machine	en	technology-and-computing	robotsllmsaihumans	emailphone	none
gbltech.com ↗	63 match 2 shared topics	Adventures of a Software Engineer – Machine learning and software engineering	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
myresources.app ↗	63 match 2 shared topics	Resources, the best recommendation algorithm is a human	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
voiceassistantnews.com ↗	63 match 2 shared topics	Voice Assistant News – Covering the latest news in Voice Assistants (Google Assistant, Alexa, Siri, and more)	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
llmopscommunity.com ↗	63 match 2 shared topics	LLMOps Space: The Global Community for LLM Practitioners	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
categorical.com ↗	63 match 2 shared topics	Categorical Technology – Content Intelligence	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
categoricaltech.com ↗	63 match 2 shared topics	Categorical Technology – Content Intelligence	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
neil-simon.com ↗	63 match 2 shared topics	Neil Simon's Thoughts – A standard nerd's thoughts on machine learning and more	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
astondean.com ↗	63 match 2 shared topics	Aston Gilliland - Builder, Engineer, Technical Leader	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
voiceradar.io ↗	63 match 2 shared topics	Voice AI and TTS, uncovered \| VoiceRadar	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
voiceaiguide.com ↗	63 match 2 shared topics	Voice AI Guide - Build, Deploy, and Master Voice AI Systems	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
gaussianwaves.com ↗	63 match 2 shared topics	GaussianWaves – Signal Processing for Communication Systems	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
bloodinthemachine.com ↗	63 match 2 shared topics	Blood in the Machine \| Brian Merchant \| Substack	en	technology-and-computing	robotsllmsaihumans	emailphone	none
gautamhazari.com ↗	63 match 2 shared topics	Gautam Hazari \| Youth Speaker & Author \| Humanisation of Technology	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
voiceagentguide.com ↗	62 match 2 shared topics	VoiceAgentGuide — The practitioner's guide to building voice AI agents	en	artificial-intelligence	robots llmsaihumans	emailphone	none
gateways.ai ↗	62 match 2 shared topics	Gateways • Discover the world's top machine learning tools and experts	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.