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Sites similar to mlwithcoffee.com

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Applied ML with Coffee — 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 →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
nkanyiso.com 68 match
2 shared topics
Nkanyiso Nzimande — Applied AI Engineer en artificial-intelligence robotsllmsaihumans emailphone none
roosma.dev 66 match
2 shared topics
Insights in Coding with Duncan en artificial-intelligence robotsllmsaihumans emailphone none
andrewbolster.info 65 match
2 shared topics
Of Penguins and Coffee en artificial-intelligence robotsllmsaihumans emailphone none
voidkat.com 65 match
2 shared topics
Farhad Agzamov - Applied AI Engineer & Engineering Leader en artificial-intelligence robotsllmsaihumans emailphone none
rsaucedo.com 64 match
2 shared topics
Ruben Saucedo — Senior Fullstack Engineer en artificial-intelligence robotsllmsaihumans emailphone none
mcpevals.io 64 match
2 shared topics
MCP Evals - Evaluate Your MCP Tools with Confidence en artificial-intelligence robotsllmsaihumans emailphone none
niwethushan.com 64 match
2 shared topics
Niwethushan Sritharan | Senior Software Engineer en artificial-intelligence robotsllmsaihumans emailphone none
noclickapp.com 64 match
2 shared topics
NoClick | Build Apps & Agents with AI en artificial-intelligence robotsllmsaihumans emailphone none
noclick.com 64 match
2 shared topics
NoClick | Build Apps & Agents with AI en artificial-intelligence robotsllmsaihumans emailphone none
codencoffee.io 64 match
2 shared topics
Code, Coffee & AI — A community of engineers curious about the future en artificial-intelligence robotsllmsaihumans emailphone none
vjswami.com 64 match
2 shared topics
Adventures in Applied Technology | Vijay Swami | Substack en artificial-intelligence robotsllmsaihumans emailphone none
100xdevops.com 64 match
2 shared topics
100xDevOps - Local AI Agents with Strands & Ollama en artificial-intelligence robotsllmsaihumans emailphone partial · 8
rohittidke.com 64 match
2 shared topics
Rohit Tidke | ML Engineer en artificial-intelligenceWooCommerce robotsllmsaihumans emailphone none
rohithvajrala.com 64 match
2 shared topics
Rohith Vajrala en artificial-intelligence robotsllmsaihumans emailphone none
aliirani.com 63 match
2 shared topics
Ali Irani en technology-and-computing robotsllmsaihumans emailphone none
spacha.dev 63 match
2 shared topics
Spacha — A nerd with attitude en artificial-intelligence robotsllmsaihumans emailphone none
vladislavsorokin.com 63 match
2 shared topics
Vladislav Sorokin en artificial-intelligence robotsllmsaihumans emailphone none
alifa.dev 63 match
2 shared topics
ali@portfolio:~$ 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:

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.