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Sites similar to quantlabusa.dev

Quantlabusa alternatives & similar sites

Custom Software Development & Penetration Testing | QUANT LAB USA — 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 Software And Applications →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
dision.tech ↗	76 match 2 shared topics	DISION Tech LLC – Custom Software Development & Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
marinov-consulting.com ↗	72 match 2 shared topics	Marinov Consulting \| Software Development & Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
webman.io ↗	70 match 2 shared topics	Mark Topper - Software Development & Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aicy.dev ↗	69 match 2 shared topics	AiCY - software development, security, architecture	en	software-and-applications WordPress	robotsllmsaihumans	emailphone	none
qubit.cl ↗	69 match 2 shared topics	Qubit – Cybersecurity & Software Development	Chile en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
2defai-dev.com ↗	68 match 2 shared topics	2defai \| Intelligent Software Development & Enterprise IT Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ahmadmohd.tech ↗	67 match 2 shared topics	Mohd Ahmad - Software Developer & Cybersecurity Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
boesk.com ↗	67 match 2 shared topics	BoesK - Scalable Software for Education & Security	en	software-and-applications	robotsllmsaihumans	emailphone	none
oxobyte.com ↗	67 match 2 shared topics	Oxobyte \| SaaS Development & Cybersecurity Agency	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptosys.net ↗	66 match 2 shared topics	CryptoSys cryptography software tools for developers	en	information-and-network-security	robots llmsaihumans	emailphone	none
bonhamtechnologies.net ↗	66 match 2 shared topics	Bonham Technologies \| Secure Software Engineering & Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bonhamtechnologies.org ↗	66 match 2 shared topics	Bonham Technologies \| Secure Software Engineering & Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bonhamtechnologies.io ↗	66 match 2 shared topics	Bonham Technologies \| Secure Software Engineering & Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bonhamtechnologiesllc.com ↗	66 match 2 shared topics	Bonham Technologies \| Secure Software Engineering & Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bonhamtech.io ↗	66 match 2 shared topics	Bonham Technologies \| Secure Software Engineering & Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bonhamtechnologies.com ↗	66 match 2 shared topics	Bonham Technologies \| Secure Software Engineering & Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
marqmercado.com ↗	66 match 2 shared topics	VectorTrace Labs — Security Engineering, Automation & Secure Software	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oversdoonis.com ↗	66 match 2 shared topics	OVERS DOO NIS — iOS Application Development \| VPN & Cleaner Apps	Serbia~ en	software-and-applications	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.