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Stringifier — 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 →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
visitstartupindia.com ↗	62 match 2 shared topics	codepreneuring.com	en	web-development	robotsllmsaihumans	emailphone	none
browser.engineering ↗	62 match 2 shared topics	Web Browser Engineering	en	programming-languages	robotsllmsaihumans	emailphone	none
katrinasanford.com ↗	62 match 2 shared topics	Katrina Urso - Web Developer	en	web-development	robotsllmsaihumans	emailphone	none
bussardb.ch ↗	61 match 2 shared topics	Software engineering student portfolio	Switzerland en	web-development	robotsllmsaihumans	emailphone	none
fabiolck.com ↗	61 match 2 shared topics	Fabiol Caka - Software Engineering Student	en	web-development	robotsllmsaihumans	email phone	none
anvaymathur.com ↗	61 match 2 shared topics	Anvay Mathur - Aspiring Full-Stack Web Developer	en	web-development	robotsllmsaihumans	emailphone	none
htmltopdfconverter.net ↗	61 match 2 shared topics	Convert HTML to PDF in C# .NET 10 with Chrome Rendering	en	web-development	robotsllmsaihumans	emailphone	none
antoanpopov.com ↗	61 match 2 shared topics	Antoan Popov — Engineering Manager & TypeScript Engineer	en	web-development	robotsllmsaihumans	emailphone	none
stackengineeringhub.com ↗	61 match 2 shared topics	Latest Tech Articles and Tutorials \| Stack Engineering Hub	en	programming-languages WordPress	robots llmsaihumans	emailphone	none
angularengineering.com ↗	61 match 2 shared topics	Angular Engineering – A blog about Angular and Web Development	en	web-development WordPress	robotsllmsaihumans	emailphone	none
anjanabazala.com ↗	61 match 2 shared topics	Anjanaba Zala - Java Developer \| Spring Boot \| Angular \| Portfolio	India~ en	programming-languages	robotsllmsaihumans	emailphone	none
springwebessentials.com ↗	61 match 2 shared topics	Spring Web Essentials - Building modern web services with Spring Boot	en	web-development	robotsllmsaihumans	emailphone	none
erickkurniawan.net ↗	60 match 2 shared topics	Erick Kurniawan – Microsoft Certified Trainer, Microsoft MVP for +15y on Developer Technologies	en	web-development WordPress	robotsllmsaihumans	emailphone	none
mdominiak.com ↗	60 match 2 shared topics	Mateusz Dominiak \| Crafting awesome web applications in Ruby on Rails and blogging about interesting engineering challenges.	en	programming-languages	robotsllmsaihumans	emailphone	none
danielshow.dev ↗	60 match 2 shared topics	Daniel Shotonwa - Ruby on Rails/ Javascript Engineer — Experienced Software Engineer with expertise in Javascript, Ruby, Python, Micro-service architecture, Bash scripting offering over 3 years of experience in full software development lifecycle.	en	web-development	robotsllmsaihumans	emailphone	none
agiliq.com ↗	60 match 2 shared topics	Agiliq – Webapp and API development with Python, Django and more	en	web-development	robotsllmsaihumans	emailphone	none
adalspace.com ↗	60 match 2 shared topics	Amir Adal – Software Engineer & Full-Stack Developer	en	web-development	robotsllmsaihumans	emailphone	none
10kresearch.com ↗	60 match 2 shared topics	Chris Peterson – Chris Peterson Communications – Big Lake, MN	en	programming-languages WordPress WooCommerce	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.