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Zapek's stuff – The life of a programmer — 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
ezsuite.dev ↗	64 match 2 shared topics	Libraries for the boring stuff - EZSuite	en	technology-and-computing	robotsllmsaihumans	emailphone	none
bbradar.io ↗	63 match 2 shared topics	The Bug Bounty Radar - The Latest Public Bug Bounty Programs \| The Bug Bounty Radar	en	technology-and-computing	robotsllmsaihumans	emailphone	none
darkscoop.com ↗	63 match 2 shared topics	Darkscoop - The thoughts, projects and experience of a cybersecurity enthusiast.	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
bugbountyprogram.com ↗	63 match 2 shared topics	BugBountyProgram Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
battleofthebots.net ↗	63 match 2 shared topics	About \| Battle of The Bots	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vish0l.com ↗	63 match 2 shared topics	Vishal Singh – Bits of Code, Pieces of Life.	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
bugemot.com ↗	63 match 2 shared topics	BUGemot - Vulnerability Disclosure and Reward Program	en	information-and-network-security	robotsllmsaihumans	emailphone	none
token2.ch ↗	62 match 2 shared topics	Token2 \| Home \| Token2 Store \| programmable hardware token, FIDO2 key, U2F key, TOTP,	Switzerland en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptoxploits.com ↗	62 match 2 shared topics	cryptoxploits – CryptoXploits-Home of crypto recovery	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8
chive.ch ↗	62 match 2 shared topics	Kim Thoenen - Writing about stuffs	Switzerland en	information-and-network-security	robotsllmsaihumans	emailphone	none
remcovermeulen.com ↗	62 match 2 shared topics	The personal site of Remco Vermeulen	en	information-and-network-security	robotsllmsaihumans	emailphone	none
omoladeikumapayi.com ↗	62 match 2 shared topics	Omolade Ikumapayi – Securing the Future of Cyber-Physical Systems through Research, Innovation, and Resilience.	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
spy-geek.com ↗	62 match 2 shared topics	spy-geek.com – Here is the place, where you will find an answer.	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
dawnproject.com ↗	62 match 2 shared topics	The Dawn Project	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
ctfworld.org ↗	62 match 2 shared topics	FallWire CTF 2026 — The call of the fall	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ethlei.org ↗	62 match 2 shared topics	The ETHLEI Protocol	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
anuastra.com ↗	62 match 2 shared topics	Aṇu Astra \| The Era of Unconditional Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
apdiff.com ↗	62 match 2 shared topics	Peter Bosch’s website \| Here I will share what I am working on, which includes programming, electronics and security research	en	technology-and-computing	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.