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Sites similar to markveerasingam.com

Markveerasingam alternatives & similar sites

Mark Veerasingam — 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
markcodes.dev 66 match
3 shared topics
Mark Shenouda | Software Developer en software-and-applications robotsllmsaihumans emailphone none
mikeveerman.be 65 match
3 shared topics
Mike Veerman Belgium en artificial-intelligence robotsllmsaihumans emailphone none
galilsoftware.com 64 match
3 shared topics
Software R&D, QA, DevOps & AI Solutions | Galil Software en artificial-intelligenceWordPress robotsllmsaihumans emailphone none
wearenotch.com 64 match
3 shared topics
AI-Native Software, Agents & Models | Notch en artificial-intelligenceWordPress robotsllmsaihumans emailphone none
gardion.dev 64 match
3 shared topics
Dio — Portfolio en software-and-applications robotsllmsaihumans emailphone none
markogolovko.com 64 match
3 shared topics
Marko Golovko - Software Engineer en technology-and-computing robotsllmsaihumans emailphone partial · 4
aadityasharma.tech 63 match
3 shared topics
Aaditya Sharma | Senior Software Engineer | Scalable Systems & AI Products en artificial-intelligence robotsllmsaihumans emailphone none
waveloop.dev 63 match
3 shared topics
WAVELOOP - Waves of Innovation en software-and-applications robotsllmsaihumans emailphone none
satriadhikara.com 63 match
3 shared topics
Satriadhikara Panji Yudhistira — Software Engineer en technology-and-computing robotsllmsaihumans emailphone partial · 8
jamesnesbitt.dev 63 match
3 shared topics
James Nesbitt — Software Engineer en artificial-intelligence robotsllmsaihumans emailphone none
draftmark.app 63 match
3 shared topics
Draftmark — Markdown sharing for async collaboration en artificial-intelligence robotsllmsaihumans emailphone none
jameswegner.com 63 match
3 shared topics
James Wegner en artificial-intelligence robotsllmsaihumans emailphone none
jeetsh4h.dev 63 match
3 shared topics
Jeet Shah | Software Engineer, Columbia MSCS en software-and-applications robotsllmsaihumans emailphone none
thxnura.com 63 match
3 shared topics
Thanura Manjitha Peiris LK~ en artificial-intelligence robotsllmsaihumans emailphone none
jav65.com 63 match
3 shared topics
Javier Enrique Wong - Portfolio en software-and-applications robotsllmsaihumans emailphone none
demooij.dev 63 match
3 shared topics
Jan de Mooij | Researcher • Software Engineer en artificial-intelligenceWordPress robotsllmsaihumans emailphone none
jamsolutions.net 63 match
3 shared topics
Home en software-and-applications robotsllmsaihumans emailphone none
scalexa.ai 63 match
3 shared topics
Senior Engineers Build & Fix Software en software-and-applications 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.