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Trirector Technologies — 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 Cloud Computing →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
mbuzztech.tech 71 match
3 shared topics
Home Page - MBUZZ Technologies en cloud-computingWordPress robotsllmsaihumans emailphone partial · 8
fabriciorojas.com 61 match
3 shared topics
Fabricio Rojas — Cloud Solution Architect, DevOps & AI Tech Lead United States~ en cloud-computing robotsllmsaihumans emailphone none
cyrilbandolo.com 60 match
3 shared topics
Cyril Bandolo en artificial-intelligence robotsllmsaihumans emailphone none
daddydelmar.com 60 match
3 shared topics
Douglas Sanchez - Design leader building AI experiences at AWS en technology-and-computing robotsllmsaihumans emailphone none
vivekdhami.com 60 match
3 shared topics
Vivek Dhami en artificial-intelligence robotsllmsaihumans emailphone full · 20
ankittyagi.com 60 match
3 shared topics
Home | Ankit Tyagi en artificial-intelligence robotsllmsaihumans emailphone none
anupamavm.com 60 match
3 shared topics
Anupama Morapitiya - Backend Engineer | DevOps & AI Automation en cloud-computing robotsllmsaihumans emailphone none
apantelides.com 60 match
3 shared topics
Alexander Pantelides en technology-and-computing robotsllmsaihumans emailphone none
buildwithkayai.com 60 match
3 shared topics
BuildWithKayAI | Kehinde Oyekunle — DevOps & SRE Engineer en artificial-intelligence robotsllmsaihumans emailphone none
danielkiptoon.com 60 match
3 shared topics
Daniel Kiptoon en artificial-intelligence robotsllmsaihumans emailphone none
keithhodo.com 60 match
3 shared topics
Keith Hodo en artificial-intelligenceGhost robotsllmsaihumans emailphone none
keithhodo.dev 60 match
3 shared topics
Keith Hodo en artificial-intelligenceGhost robotsllmsaihumans emailphone none
kenmuse.com 60 match
3 shared topics
Ken Muse - DevOps & Cloud Development en cloud-computing robotsllmsaihumans emailphone none
mcavdar.com 60 match
3 shared topics
Blog | mcavdar en technology-and-computingGrav robotsllmsaihumans emailphone none
omarchouman.com 60 match
3 shared topics
Omar Chouman — Software Engineer | Systems, Cloud & AI en cloud-computing robotsllmsaihumans emailphone none
sreweekly.com 60 match
3 shared topics
SRE WEEKLY – scalability, availability, incident response, automation en technology-and-computingWordPress robotsllmsaihumans emailphone none
ssudake.com 60 match
3 shared topics
Sanket Sudake en artificial-intelligence robotsllmsaihumans emailphone partial · 8
hexadatatech.com 52 match
2 shared topics
HEXADATA TECHNOLOGIES INC United States~ en artificial-intelligenceWordPress robotsllmsaihumans emailphone partial · 8

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.