similar sites

Browse

AI Report Tools

Sites similar to hunch.net

Hunch alternatives & similar sites

Machine Learning (Theory) – Machine learning and learning theory research — 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
donml.io ↗	72 match 1 shared topics	Don's Machine Learning - My Machine Learning Journey	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
entropyreduction.ai ↗	70 match 1 shared topics	ENTROPY REDUCTION – Machine Learning and AI Advisors	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
daniellebelgrave.com ↗	69 match 1 shared topics	Machine Learning Research \| Danielle Belgrave	en	artificial-intelligence Wix	robots llmsaihumans	emailphone	none
dataresearchtrain.com ↗	69 match 1 shared topics	DRT - Data Research Training \| AI & Machine Learning Solutions	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
factionai.io ↗	69 match 1 shared topics	Faction – Artificial Intelligence & Machine Learning – Artificial Intelligence & Machine Learning	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
anshulkr.com ↗	68 match 1 shared topics	Anshul Kumar \| Machine Learning Researcher & AI Engineer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
datesca.com ↗	68 match 1 shared topics	Datesca - Data Processing and Machine Learning	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
fairmlbook.org ↗	68 match 1 shared topics	Fairness and machine learning	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
5ht.ai ↗	68 match 1 shared topics	5ht – Virtual Agents and Machine Learning	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
meanderingscience.com ↗	68 match 1 shared topics	My Journey into Data Science and Machine Learning – From Physics to Wireless Communications to Data Science and Machine Learning	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
datalearninglab.tech ↗	68 match 1 shared topics	Data Learning Lab - Data Science \| Data Engineering \| Machine Learning	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
machinelearning.uk ↗	68 match 1 shared topics	Machine learning	United Kingdom en	artificial-intelligence	robotsllmsaihumans	emailphone	none
dataverse.com ↗	67 match 1 shared topics	Dataverse \| Machine Learning \| AI	en	artificial-intelligence Wix	robots llmsaihumans	emailphone	none
cv-tricks.com ↗	67 match 1 shared topics	CV-Tricks.com – Learn Machine Learning, AI & Computer vision	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
bughouse.dev ↗	67 match 1 shared topics	The Bughouse - AI and Machine Learning Projects	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
mazinsalim.com ↗	67 match 1 shared topics	Mazin Salim \| AI Engineer - Machine Learning, Deep Learning & AI Solutions	United States~ en	artificial-intelligence	robots llms aihumans	emailphone	none
datahulu.com ↗	67 match 1 shared topics	Notes on data science and machine learning	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
evalml.org ↗	67 match 1 shared topics	EvalML - The Machine Learning Engine Behind EvalQA	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.