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Freelance Full Stack Developer | TypeScript, React, Node.js Expert | San Francisco Bay Area — 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 →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
devjahangir.com ↗	81 match 1 shared topics	Jahangir Hossain \| Full Stack Developer \| React, Next.js, Node.js Expert	en	web-development	robotsllmsaihumans	emailphone	none
sushilhub.com ↗	79 match 1 shared topics	Sushil Hub - Full Stack Developer & Software Engineer \| React, Node.js, TypeScript Expert	IN~ en	web-development	robotsllmsaihumans	emailphone	none
hashinpk.com ↗	78 match 1 shared topics	Hashin Mohammed - Full Stack Developer & Technical Consultant \| React, Node.js Expert	IN~ en	web-development	robotsllmsaihumans	emailphone	none
nassiri.dev ↗	77 match 1 shared topics	Nassiri.dev \| Full Stack Developer Portfolio - React, Next.js, TypeScript	en	web-development	robotsllmsaihumans	emailphone	none
deowan.com ↗	77 match 1 shared topics	Sajal Deowan - Full Stack Developer \| React, Next.js, Node.js	en	web-development	robotsllmsaihumans	emailphone	none
cassiabernardo.com ↗	77 match 1 shared topics	Cassia Bernardo - Full Stack Developer \| React, Node.js	en	web-development	robotsllmsaihumans	emailphone	none
hasnainmubashir.com ↗	76 match 1 shared topics	Hasnain Mubashir — Full-Stack Developer \| Next.js, React, TypeScript	PK~ en	web-development	robots llmsaihumans	emailphone	none
naseemahmed.com ↗	76 match 1 shared topics	Naseem Ahmed \| Full Stack Developer \| PHP, Laravel, ReactJS, Node.js & NestJS Expert \| Delhi NCR	en	web-development WooCommerce	robotsllmsaihumans	emailphone	none
devarshitrivedi.com ↗	76 match 1 shared topics	Devarshi Trivedi \| MERN Stack Developer \| React \| Node.js \| TypeScript	en	web-development	robotsllmsaihumans	email phone	none
famimhayat.dev ↗	76 match 1 shared topics	Famim – Full Stack MERN Developer \| React, Node.js, MongoDB	en	web-development	robotsllmsaihumans	emailphone	none
syedjibran.com ↗	76 match 1 shared topics	Syed Jibran - Full-Stack Developer \| React, Node.js, MERN Stack	en	web-development	robotsllmsaihumans	emailphone	none
devmert.com ↗	76 match 1 shared topics	Mert \| Full Stack Developer	en	web-development	robotsllmsaihumans	emailphone	none
abuzaralvi.com ↗	75 match 1 shared topics	Abuzar Alvi – Full Stack Web Developer \| React, Next.js, Node.js	en	web-development	robotsllmsaihumans	emailphone	none
devboris.com ↗	75 match 1 shared topics	devBoris \| Full Stack Developer — React, Next.js, Node.js	CM~ en	web-development	robotsllmsaihumans	emailphone	none
sandeepnegi.com ↗	75 match 1 shared topics	Sandeep Singh - Full Stack Developer \| Full Stack Developer, React.js, Node.js Expert \| Portfolio & Blog	en	web-development	robotsllmsaihumans	emailphone	none
pipthedev.com ↗	75 match 1 shared topics	Freelance Full Stack Developer \| PiPtheDev \| Naddie Abu-Mathkour	en	web-development	robotsllmsaihumans	emailphone	none
lueondee.com ↗	75 match 1 shared topics	Lueondee - Full-Stack Developer \| React Native & Web Apps Expert	US~ en	web-development	robotsllmsaihumans	emailphone	none
devwithawais.com ↗	75 match 1 shared topics	Muhammad Awais \| Expert Full Stack Developer & AI Specialist	PK~ 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:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

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.