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DataRefiner | Refine your data into knowledge using Topological Data Analysis and Deep Learning — 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
datarefiner.com ↗	100 match 2 shared topics	DataRefiner \| Refine your data into knowledge using Topological Data Analysis and Deep Learning	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
datadrifters.com ↗	68 match 2 shared topics	Data Drifters — Data analysis and visualization guides	en	artificial-intelligence	robots llmsaihumans	emailphone	none
doughenschen.com ↗	67 match 2 shared topics	DATA TO DECISIONS – On Analytics, Data Platforms and Smart Applications	en	artificial-intelligence Weebly	robotsllmsaihumans	emailphone	none
datova.ai ↗	67 match 2 shared topics	AI-powered data analysis \| Datova AI	en	artificial-intelligence	robots llmsaihumans	emailphone	none
dataskillblog.com ↗	66 match 2 shared topics	DataSkillBlog \| AI, ML and Data Analytics for Everyone	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
renato-perez.com ↗	66 match 2 shared topics	Data Engineering Portfolio \| Reliable Data Pipelines & Analytics	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
decodeanalytics.blog ↗	66 match 2 shared topics	Decode Analytics – Sharing worthy updates from data analytics and AI. Occasionally suggest company to invest.	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
footprint.network ↗	66 match 2 shared topics	Footprint Analytics \| Web3 Data Solution Provider with AI Technology.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
datasciencewire.com ↗	66 match 2 shared topics	Data Science Wire — Your personalized source for AI, data engineering & analytics	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
dataprojecthunt.com ↗	66 match 2 shared topics	Discover the Best Data and AI Engineering Projects \| Data Project Hunt	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
datainjector.com ↗	66 match 2 shared topics	DataInjector \| Streamlining Data Integration for Your Business	en	technology-and-computing WordPress WooCommerce	robots llmsaihumans	emailphone	none
datarus.ai ↗	66 match 2 shared topics	Datarus: Adaptive Multi-Step Reasoning for Data Analysis	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
datasetml.com ↗	66 match 2 shared topics	Dataset ML \| Machine Learning Datasets, Resources and Insights	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
mayoracek.com ↗	65 match 2 shared topics	Mayo Racek \| Data Analyst & Engineer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
deeperplayground.org ↗	65 match 2 shared topics	Deeper Playground - Deep Learning Research in Your Browser	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
datacoco.com ↗	65 match 2 shared topics	DataCoco - generate meaningful mocking data, analyse and transform text	en	technology-and-computing	robotsllmsaihumans	emailphone	none
deeplearningweekly.com ↗	65 match 2 shared topics	Deep Learning Weekly \| Substack	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
hrishikeshjadhav.com ↗	65 match 2 shared topics	Hrishikesh Jadhav - AI Engineer & Data Scientist \| Machine Learning Expert	Germany~ 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.