similar sites

Browse

AI Report Tools

Sites similar to responsibletechsummit.com

Responsibletechsummit alternatives & similar sites

Responsible Tech Summit: Embedding Accountability in the AI Era to take place on October 29th at The New York Times Center in Manhattan — All Tech Is Human — 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
bayareakgroup.org ↗	63 match 3 shared topics	Bay Area K Group – Korean High-Tech Professional Community in the SF Bay Area	en	technology-and-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
3percentclub.org ↗	63 match 3 shared topics	3percentclub — Building the Future of Tech	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
visiblemagic.com ↗	62 match 3 shared topics	Visible Magic : Blockchain, AI & Spatial Computing Experts	en	technology-and-computing	robotsllmsaihumans	emailphone	none
apex-devs.com ↗	62 match 3 shared topics	ApexDevs \| A New Class of Engineering	en	technology-and-computing	robotsllmsaihumans	emailphone	none
sreeveerapaneni.com ↗	62 match 3 shared topics	Sree Veerapaneni \| Tech Strategy & GenAI Leadership	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
csomor.dev ↗	62 match 3 shared topics	Balázs Csomor \| Engineering Lead	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
hellochinatech.com ↗	62 match 3 shared topics	Hello China Tech \| Poe Zhao \| Substack	en	technology-and-computing	robotsllmsaihumans	emailphone	none
balvinderkalon.dev ↗	61 match 3 shared topics	Balvinder Kalon — Analytics Engineer & Developer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
danielshaji.com ↗	61 match 3 shared topics	Daniel Shaji \| Founder of Aegis Vectro	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
dotnetmurf.net ↗	60 match 3 shared topics	🌌 Kevin Murphy \| Profile	en	technology-and-computing	robotsllmsaihumans	emailphone	none
1earthtech.com ↗	60 match 3 shared topics	Earthtech	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
danieldraughon.com ↗	60 match 3 shared topics	Daniel Draughon	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
starstech.ai ↗	60 match 3 shared topics	Home	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
responsibletechlondon.com ↗	52 match 2 shared topics	Responsible Tech London: A Better Tech Future for Youth — All Tech Is Human	en	technology-and-computing Squarespace Magento	robotsllmsaihumans	emailphone	none
human-technology-foundation.org ↗	46 match 2 shared topics	Human Technology Foundation – Construire une Tech Responsable	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
hellyholly.com ↗	45 match 2 shared topics	HellyHolly \| Our Life Engine technology gives machines the ability to think about time the way humans do — nuanced, networked, and never static.	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
squiz.io ↗	44 match 2 shared topics	The Content Operating System for the AI era \| Sanity	en	artificial-intelligence Sanity	robotsllmsaihumans	emailphone	none
oobeya.io ↗	44 match 2 shared topics	Oobeya: Engineering Visibility & Control in the Age of AI-Assisted Development	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.