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Coffee & Software – Learn about the latest and greatest in the wide and wonderful world of enterprise Java software, AI, cloud native architecture, microservices, distributed computing, and more. — 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 →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
sandeepbhaisora.com 67 match
2 shared topics
Sandeep Bhaisora - Software Developer | Java, Spring Boot, AWS, Microservices en programming-languages robotsllmsaihumans emailphone none
theyawns.com 66 match
2 shared topics
Nodes and Edges – Practical guides to distributed systems, big data, and high-performance Java en technology-and-computingWordPress robotsllmsaihumans emailphone none
mdornseif.io 65 match
2 shared topics
Dr. Maximillian Dornseif - Exploring the World of Software Development en programming-languages robotsllmsaihumans emailphone none
onetwobytes.com 65 match
2 shared topics
One Two Bytes | Roaming the software world. A smorgasbord of topics I come across while writing software. en technology-and-computingWordPress robotsllmsaihumans emailphone none
badboi.dev 65 match
2 shared topics
BadBoi.dev | My name is John. I’m a software engineer who lives in The Bay. I do mostly frontend stuff for my job, but I like tinker with systems programming and other lower level things for fun. I’m currently interested in learning about Rust. I enjoy running, cycling, and eating. en technology-and-computing robotsllmsaihumans emailphone none
samthesoftwareman.com 65 match
2 shared topics
Sam the Software Man | Thoughts and teachings on computer science, software engineering/development, as well as general technology topics. Lessons that I wish had been taught to me early in my career as a programmer. en programming-languages robotsllmsaihumans emailphone none
247golang.com 65 match
2 shared topics
247golang – Where Go Is Used in the Real World en programming-languages robotsllmsaihumans emailphone partial · 8
reactivesystems.eu 64 match
2 shared topics
On Software Architecture, Programming Languages, Engineering Management, and Systems Thinking European Union en programming-languages robotsllmsaihumans emailphone none
onloadcode.com 64 match
2 shared topics
OnlodeCode • OnloadCode en technology-and-computing robotsllmsaihumans emailphone none
incomputerscience.com 64 match
2 shared topics
INCS - The latest in programming tutorials, computer science guides, and tech news. en technology-and-computingWordPress robotsllmsaihumans emailphone none
bailalayoub.com 64 match
2 shared topics
BAILAL Ayoub | Software Engineer Portfolio en programming-languages robotsllmsaihumans emailphone none
sanjeet.dev 63 match
2 shared topics
Sanjeet Chand - Senior Software Engineer. en technology-and-computing robotsllmsaihumans emailphone none
sanadajuyushi.com 63 match
2 shared topics
Sanada Juyushi - Exploring ideas, stories, and insights that inspire. en technology-and-computing robotsllmsaihumans emailphone none
abdelkrim.blog 63 match
2 shared topics
Home | Abdelkrim.blog en programming-languages robotsllmsaihumans emailphone none
onetwiststories.com 63 match
2 shared topics
THE EMBEDDED ENGINEER – Programming and Electronics blog about the embedded world en technology-and-computingWordPressWooCommerce robotsllmsaihumans emailphone none
felipekb.com 63 match
2 shared topics
Felipe's Thoughts – A small blog to my thoughts on LabVIEW software development en technology-and-computingWordPress robotsllmsaihumans emailphone none
felix-seifert.com 63 match
2 shared topics
About Me – Felix Seifert en technology-and-computingWordPressWooCommerce robotsllmsaihumans emailphone none
samuelolaegbe.com 63 match
2 shared topics
Samuel Olaegbe | Software Engineer en programming-languages 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.