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heldin — Secure software engineering by women the world overlooked — 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 Information And Network Security →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
heldin.dev ↗	100 match 1 shared topics	heldin — Secure software engineering by women the world overlooked	en	information-and-network-security	robotsllmsaihumans	emailphone	none
trivectortech.com ↗	70 match 1 shared topics	Velnox Technologies — Engineering Secure Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
igumerov.com ↗	70 match 1 shared topics	Ildar Gumerov \| Staff Software Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
icalia.com ↗	69 match 1 shared topics	ICALIA SYSTEMS - Security Engineering & Red Team	en	information-and-network-security	robotsllmsaihumans	emailphone	none
roosecure.com ↗	69 match 1 shared topics	ROO Secure IT Solutions \| Cybersecurity, DevSecOps & Platform Engineering Experts	en	information-and-network-security	robotsllmsaihumans	emailphone	none
gaadhhaye.com ↗	69 match 1 shared topics	Gepco Engineering Companies —	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
roftcore.com ↗	68 match 1 shared topics	Roftcore \| Deep-tech defense engineering — secure communication infrastructure for hostile networks	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
patheye.com ↗	68 match 1 shared topics	PathEye \| Real Engineering, Real Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
gaanesh.com ↗	68 match 1 shared topics	Gaanesh Theivasigamani — Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
qcicgroup.uk ↗	68 match 1 shared topics	Global security engineering company \| QCIC Security Assured	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
qcicgroup.co.uk ↗	68 match 1 shared topics	Global security engineering company \| QCIC Security Assured	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
qcic-group.uk ↗	68 match 1 shared topics	Global security engineering company \| QCIC Security Assured	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
qcic-group.co.uk ↗	68 match 1 shared topics	Global security engineering company \| QCIC Security Assured	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
0xsha.io ↗	68 match 1 shared topics	0xSHA · Security Research & Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
acquiredata.com ↗	68 match 1 shared topics	Engineering Services \| Acquired Data Solutions	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
romainpace.com ↗	68 match 1 shared topics	Romain Pace \| Cybersecurity & Software Development	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hglass.dev ↗	68 match 1 shared topics	Hunter Glass \| Cybersecurity & I&C Engineering	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyrusx.io ↗	68 match 1 shared topics	CyrusX — Free Network Engineering & Cybersecurity Tools	en	information-and-network-security	robots llmsaihumans	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.