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Waterway Data – AI, Machine Learning, & Data Science — 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
connectjaya.com ↗	70 match 2 shared topics	Machine Learning \| AI \| Data Science - Tech insights for the curious mind	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ozlabs.tech ↗	69 match 2 shared topics	OZ Labs \| Statistics, Machine Learning & Data Visualization	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
owenml.dev ↗	69 match 2 shared topics	Michael Owen, Machine Learning Engineer	en	artificial-intelligence	robotsllmsaihumans	email phone	none
algorithms4data.science ↗	67 match 2 shared topics	Algorithms 4 Data Science	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
kouchaki.com ↗	66 match 2 shared topics	Mohammadreza Kouchaki \| AI/Machine Learning Engineer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
vitorbernardes.com ↗	66 match 2 shared topics	Data Science Portfolio	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
alexarvanitidis.dev ↗	66 match 2 shared topics	Alex Arvanitidis - Machine Learning Engineer & Full-Stack engineer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
kraackblog.com ↗	66 match 2 shared topics	Kristian Kraack Nielsen – Data Science Portfolio	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
poissonisfish.com ↗	66 match 2 shared topics	poissonisfish – Data science and bioinformatics tutorials	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
diakodarabi.org ↗	65 match 2 shared topics	Diako Darabi — Data Scientist & Developer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
1chipml.org ↗	64 match 2 shared topics	GitHub - 1chipML/1chipML: a library for numerical crunching and machine learning on microcontrollers · GitHub	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
krishnakalakonda.com ↗	64 match 2 shared topics	Krishna Kalakonda \| Full-Stack Data Scientist	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
vitorsousa.com ↗	64 match 2 shared topics	Vitor Sousa \| Senior Data Scientist & AI Engineer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
alienmachine.ai ↗	64 match 2 shared topics	AlienMachine CMS	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
alexrudy.net ↗	64 match 2 shared topics	Alex Rudy \| This is my home page, and a landing for a few personal projects. Professionally, I work on the Machine Learning Platform for Discord.	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 1
moraschi.com ↗	63 match 2 shared topics	MORASCHI DATA STUDIO – Advanced Analytics and Business Intelligence	en	technology-and-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ata.network ↗	63 match 2 shared topics	Automata - Verifiable machines for Web3 and AI	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
bloodinthemachine.com ↗	63 match 2 shared topics	Blood in the Machine \| Brian Merchant \| Substack	en	technology-and-computing	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.