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Lalman - Frontend Developer | React, Next.js & TypeScript — 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 Web Development →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
kristinarado.com 84 match
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alessiogaltelli.dev 77 match
1 shared topics
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allanhillman.com 77 match
1 shared topics
Allan Hillman - Front-End Engineer | React & Next.js Developer en web-development robotsllmsaihumans emailphone partial · 6
alexandriaroberts.dev 76 match
1 shared topics
Alexandria Roberts - Frontend Developer for Bitcoin Apps en web-development robotsllmsaihumans emailphone none
mcyk.dev 76 match
1 shared topics
Mandy Chin - Frontend Developer en web-developmentWebflow robotsllmsaihumans emailphone none
shoyaib.com 76 match
1 shared topics
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davidrobinson.co 76 match
1 shared topics
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ethansnj.com 76 match
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pooniya.com 75 match
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Mahendra Singh Puniya — Senior Frontend Developer & AI Enthusiast en web-developmentSanity robotsllmsaihumans emailphone partial · 8
pablohaller.dev 75 match
1 shared topics
Pablo Haller | Software Engineer | React & Next.js Developer UY~ en web-development robotsllmsaihumans emailphone partial · 8
mcdigitalservices.pro 75 match
1 shared topics
Abdirahman Mohamed - Web Developer | React & Next.js Specialist en web-development robotsllmsaihumans emailphone none
alejandraosuna.dev 75 match
1 shared topics
Alejandra Osuna — Frontend Developer en web-development robotsllmsaihumans emailphone none
aliyoussef.tech 75 match
1 shared topics
Ali Youssef - Frontend React Developer | Portfolio en web-development robotsllmsaihumans emailphone none
dharunr.tech 74 match
1 shared topics
Dharun R — Full-Stack Developer | React & Next.js Portfolio India~ en web-development robotsllmsaihumans emailphone none
herecomesthecode.com 74 match
1 shared topics
Daniel Polak — Frontend Developer en web-development robotsllmsaihumans emailphone none
devrajraisal.dev 74 match
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Devraj Raisal — Frontend Developer & React Specialist 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.