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Sites similar to sidequest-lab.com

Sidequest Lab alternatives & similar sites

Sidequest Lab – Research, writeups, tips and tricks in the world of cyber. — 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 Technology And Computing →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
leakst.com ↗	68 match 2 shared topics	Leakst - Your Eye In The World Of Hackers And Threat Actors	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
trailofbits.com ↗	68 match 2 shared topics	Trail of Bits: Security Research, Audits, and Tools	en	information-and-network-security	robots llmsaihumans	emailphone	none
silencemayday.com ↗	68 match 2 shared topics	Silence Mayday – Cybersecurity & CTF Writeups	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
dbcoretech.com ↗	66 match 2 shared topics	Performance, security, and innovation in the digital world	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
simonkoeck.com ↗	66 match 2 shared topics	Simon Koeck \| Security Researcher & Developer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
alsavaudomila.com ↗	65 match 2 shared topics	alsavaudomila Writeup – Alsavaudomila	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
iamalexiahart.com ↗	65 match 2 shared topics	Lexi's Journey Through Cybersecurity – A handy reel of my stumbles and successes in IT.	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cryptoresearch.com ↗	65 match 2 shared topics	Zero-knowledge Proofs \| Cryptographic Research	en	information-and-network-security	robotsllmsaihumans	emailphone	none
deadhacker.com ↗	65 match 2 shared topics	deadhacker.com – security research repository of nathan andrew fain / cyphunk	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
brantalabs.io ↗	65 match 2 shared topics	Branta Labs — Research & Prototyping	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
lazicdusan.com ↗	65 match 2 shared topics	Dušan Lazić — Cybersecurity, DevOps and more	en	technology-and-computing	robotsllmsaihumans	emailphone	none
defuse.ca ↗	64 match 2 shared topics	Defuse Security Research and Development	Canada en	technology-and-computing	robotsllmsaihumans	emailphone	none
brianessig.com ↗	64 match 2 shared topics	Brian Essig - Technology Blog - Tips and Tricks for Techies, Business Ramblings, etc	en	technology-and-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
briacd.com ↗	64 match 2 shared topics	Developer Portfolio, Security Research and Engineering Blog \| Briac	en	technology-and-computing	robotsllmsaihumans	emailphone	none
k0g.com ↗	64 match 2 shared topics	K0G — Ethical Security Research Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xmaruf.com ↗	64 match 2 shared topics	0xmaruf — Security Researcher & Bug Bounty Hunter	en	information-and-network-security WordPress Spree Commerce	robotsllmsaihumans	emailphone	none
fobabs.com ↗	64 match 2 shared topics	FOBABS - Blockchain Engineer & Security Researcher	en	technology-and-computing	robotsllmsaihumans	emailphone	none
leeryanrs.com ↗	64 match 2 shared topics	Tech Tips and Guides	en	technology-and-computing WordPress	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.