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Singularity Countdown alternatives & similar sites

Singularity Countdown - Expert Predictions Leading to the Singularity — 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
singularityclock.org ↗	70 match 2 shared topics	The Singularity Clock	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
singularityhq.ai ↗	68 match 2 shared topics	AI Coding Tool Leaderboard — The Vibe Check \| SingularityHQ	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
singularitysymposium.com ↗	68 match 2 shared topics	Singularity Symposium, a conversation about Artificial Intelligence	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
singularitymoments.com ↗	67 match 2 shared topics	Singularity Moments — AI Progress Tracker & Countdown	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	partial · 8
singularityrainbow.ai ↗	66 match 2 shared topics	Singularity Rainbow \| Andy \| Substack	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
jitm.ai ↗	66 match 2 shared topics	JITM.ai: The prediction layer for your AI agent	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
singularitystreets.com ↗	66 match 2 shared topics	Home - Singularity Streets	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
jasonvoirin.com ↗	66 match 2 shared topics	Jason Voirin \| AI Solutions Leader	en	artificial-intelligence	robotsllmsaihumans	email phone	none
singularitynet.io ↗	66 match 2 shared topics	SingularityNET - Next Generation of Decentralized AI	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
singularitydispatch.com ↗	65 match 2 shared topics	Singularity Dispatch \| Michael Iedema \| Substack	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
marphalabs.com ↗	65 match 2 shared topics	Marpha Labs — Building the Future	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
jayvanzyl.me ↗	65 match 2 shared topics	Jay van Zyl @ ecosystem.Ai – Predictive technology: computational social science	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
galaksiya.com ↗	65 match 2 shared topics	Galaksiya - Empowering Futures with AI Innovation	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
4uloop.com ↗	65 match 2 shared topics	4ULoop — Closing the Loop for You	United States~ en	artificial-intelligence	robots llmsaihumans	emailphone	none
martechlogic.com ↗	65 match 2 shared topics	Martech Logic \| Emerging Tech News \| Latest Tech Insights	en	technology-and-computing WordPress	robots llmsaihumans	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
jgershen.dev ↗	65 match 2 shared topics	jgershen.dev \| Exploring the intersection of machine learning and engineering management.	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
singularscript.com ↗	65 match 2 shared topics	SingularScript	en	artificial-intelligence	robots llmsaihumans	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.