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Sites similar to linkedobjects.org

Linkedobjects alternatives & similar sites

Linked Objects - Simplify Nested Objects with URL Identifiers — 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
mdxg.org 62 match
3 shared topics
Markdown Experience Guidelines | MDXG en technology-and-computing robotsllmsaihumans emailphone none
mdxg.dev 62 match
3 shared topics
Markdown Experience Guidelines | MDXG en technology-and-computing robotsllmsaihumans emailphone none
ronniemiller.com 62 match
3 shared topics
Ronnie Miller - Software Developer en web-development robotsllmsaihumans emailphone none
ronniemlr.com 62 match
3 shared topics
Ronnie Miller - Software Developer en web-development robotsllmsaihumans emailphone none
learn-with.com 62 match
3 shared topics
Programming Books with the Knowledge to Boost Your Career - Learn With en programming-languagesGumroad robotsllmsaihumans emailphone none
nogicn.com 62 match
3 shared topics
Projects en technology-and-computing robotsllmsaihumans emailphone partial · 8
mehmetgenc.net 62 match
3 shared topics
Mehmet Genc - Software Engineer en programming-languages robotsllmsaihumans emailphone none
daniellewis.me.uk 62 match
3 shared topics
Dan Lewis - Development and Technology | I am a full-stack developer and consultant specialising in web technologies and .NET. United Kingdom en web-development robotsllmsaihumans emailphone none
clinton.dev 62 match
3 shared topics
Clinton Collins - Software Developer en web-developmentLightspeed robotsllmsaihumans emailphone none
amrani.ventures 61 match
3 shared topics
David Amrani - Programmer | Ruby, JavaScript, SQL en programming-languages robotsllmsaihumans emailphone none
abhishekkange.online 61 match
3 shared topics
Abhishek Kange – Python Developer for , Pipelines & Automation en programming-languages robotsllmsaihumans emailphone none
spectralcoding.com 61 match
3 shared topics
SpectralCoding – My Technical Projects and Adventures en programming-languagesWordPressWooCommerce robotsllmsaihumans emailphone none
hedegaremoreira.com 61 match
3 shared topics
Hedegare | Homepage en web-development robotsllmsaihumans emailphone none
anouarderja.info 61 match
3 shared topics
Anouar Derja en programming-languages robotsllmsaihumans emailphone none
onfe.co.uk 61 match
3 shared topics
Edward Hails - Software Engineer - Onfe United Kingdom en technology-and-computing robotsllmsaihumans emailphone none
onfe.uk 61 match
3 shared topics
Edward Hails - Software Engineer - Onfe United Kingdom en technology-and-computing robotsllmsaihumans emailphone none
alldevneeds.com 61 match
3 shared topics
AllDevNeeds - Daily Developer Tools en web-development robotsllmsaihumans emailphone none
noelcv.com 61 match
3 shared topics
Noel Vieira | Software Engineer in Luxembourgg en web-development 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.