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Bartosz Sypytkowski — 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 Programming Languages →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
bartoszkrajka.com 68 match
2 shared topics
Bartosz Krajka – Personal blog en programming-languagesWordPress robotsllmsaihumans emailphone none
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lukegrehan.com 66 match
2 shared topics
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zumistudios.com 66 match
2 shared topics
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lukasdohmen.com 66 match
2 shared topics
Lukas Dohmen en technology-and-computing robotsllmsaihumans emailphone none
namanvashistha.com 66 match
2 shared topics
Naman Vashistha en programming-languages robotsllmsaihumans emailphone none
fabricio.ar 65 match
2 shared topics
Fabricio's site AR en programming-languages robotsllmsaihumans emailphone none
cturner8.dev 65 match
2 shared topics
cameron turner en technology-and-computing robotsllmsaihumans emailphone full · 15
lucaschabiron.com 65 match
2 shared topics
lucas chabiron en technology-and-computing robotsllmsaihumans emailphone none
dev-note.com 65 match
2 shared topics
Dev-Note | Software Engineering Notes en technology-and-computingWordPressWooCommerce robotsllmsaihumans emailphone none
josiahulfers.com 65 match
2 shared topics
Should Be Simple | Living with software en technology-and-computing robotsllmsaihumans emailphone none
joshsaintjacque.com 64 match
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Josh Saint Jacque en programming-languagesSpree Commerce robotsllmsaihumans emailphone none
pixcoders.com 64 match
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Rafal Spacjer blog en programming-languages robotsllmsaihumans emailphone none
luisferhenriquez.com 64 match
2 shared topics
Developer Portfolio | Terminal v1.0.5 en technology-and-computing robotsllmsaihumans emailphone none
uzoochogu.com 64 match
2 shared topics
Uzo Ochogu en programming-languages robotsllmsaihumans emailphone none
pitayan.com 64 match
2 shared topics
Pitayan Blog en programming-languages robotsllmsaihumans emailphone none
samclane.dev 64 match
2 shared topics
Sawyer McLane – Python, Embedded Software, and Game Development en technology-and-computing 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.