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Sites similar to twistontech.com

Twistontech alternatives & similar sites

Twist: On Tech (and more) – cybersecurity, software development, user experience, food, and music — 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
javiertech.net ↗	68 match 2 shared topics	Javiertech – Cybersecurity and tech stuff	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
csanchez.dev ↗	68 match 2 shared topics	CSanchezAustin \| Musings and experiments on Identity, DevOps, and Security.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
jasonachkardiab.com ↗	67 match 2 shared topics	Cybersecurity Portfolio \| Full-Stack Developer & Security Researcher	en	technology-and-computing	robotsllmsaihumans	emailphone	none
jesusoseguera.dev ↗	67 match 2 shared topics	Jesus Oseguera - Personal website and portfolio showcasing cybersecurity projects, blog posts, and professional experience	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
aisecuritystack.com ↗	67 match 2 shared topics	Find and Compare Cybersecurity Tools \| CybersecTools	en	information-and-network-security	robots llmsaihumans	emailphone	none
0-x.dev ↗	66 match 2 shared topics	0xDev - Security Engineering & Development	en	information-and-network-security	robotsllmsaihumans	emailphone	none
jaimedrodriguez.com ↗	66 match 2 shared topics	Jaime D Rodriguez - Software developer, maratho, and amateur astronaut	en	information-and-network-security	robotsllmsaihumans	emailphone	none
meincke.org ↗	66 match 2 shared topics	Raymond Meincke \| DevOps & Cybersecurity Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
james-clee.com ↗	66 match 2 shared topics	James Clee – My blog blog about Cybersecurity	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
csenthusiast.com ↗	66 match 2 shared topics	Cybersecurity Enthusiast - Home	en	information-and-network-security	robotsllmsaihumans	emailphone	none
jeffmaxwell.com ↗	66 match 2 shared topics	Jeff Maxwell - Professor, Developer, Architect, and Security Expert	en	information-and-network-security	robotsllmsaihumans	emailphone	none
boxode.com ↗	66 match 2 shared topics	Boxode — Infrastructure, Automation & Secure Development	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
jcadima.dev ↗	66 match 2 shared topics	Senior Software Engineer \| Backend Systems & Infrastructure Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ahsanlatif.com ↗	66 match 2 shared topics	AHSAN LATIF \| Cybersecurity & Full-Stack Developer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bohops.com ↗	66 match 2 shared topics	bohops – A blog about cybersecurity research, education, and news	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
sbobetcz.com ↗	66 match 2 shared topics	Birdo - Developer & Security Enthusiast	en	information-and-network-security	robotsllmsaihumans	emailphone	none
weektechnews.com ↗	66 match 2 shared topics	WeekTech News - Simple Tech News, AI Updates & Cybersecurity Guides	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ahmedteyib.com ↗	66 match 2 shared topics	Ahmed Teyib \| Cybersecurity & DevSecOps Engineer	en	technology-and-computing	robotsllmsai humans	email phone	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.