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tīkōuka.dev | Less of a blog and more of a pesonal wiki as I continuously revise old posts. Rarely about cabbage trees. — 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
blakelee.net ↗	64 match 2 shared topics	Blake Oliveira's Blog – Thoughts and stories of a developer	en	programming-languages	robotsllmsaihumans	emailphone	none
epeec-project.eu ↗	63 match 2 shared topics	Epeec-Project - Blog about tools to accelerate programming in scientific industries	European Union en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
2dtrung.blog ↗	63 match 2 shared topics	Trung. Do Duc Blog	en	programming-languages	robotsllmsaihumans	emailphone	none
lanwen.dev ↗	63 match 2 shared topics	Merkushev Kirill's Blog - All posts \| Kirill Merkushev's personal blog	en	programming-languages	robotsllmsaihumans	emailphone	none
onetwiststories.com ↗	63 match 2 shared topics	THE EMBEDDED ENGINEER – Programming and Electronics blog about the embedded world	en	technology-and-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
badrooki.dev ↗	63 match 2 shared topics	BadRooki \| Free Dev Tools, Tech Tips & Blog	en	technology-and-computing	robotsllmsaihumans	emailphone	none
bloggure.info ↗	62 match 2 shared topics	Bloggure	en	technology-and-computing	robotsllmsaihumans	emailphone	none
impuresystems.com ↗	62 match 2 shared topics	impure systems	en	technology-and-computing	robotsllmsaihumans	emailphone	none
sandevgo.com ↗	62 match 2 shared topics	Life Unfiltered: IT Insights and Adventures - sandevgo	en	technology-and-computing	robotsllmsaihumans	emailphone	none
bageezus.com ↗	62 match 2 shared topics	Bageezus.com – A series of exclamations	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
4zm.org ↗	62 match 2 shared topics	Home - The Ivory Tower	en	technology-and-computing	robotsllmsaihumans	emailphone	none
bafna.dev ↗	62 match 2 shared topics	About me \| Rohan Bafna	en	programming-languages	robotsllmsaihumans	emailphone	none
onirexus.com ↗	62 match 2 shared topics	= Onirexus' Blog = Hic sunt leones	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
thibaultberanger.com ↗	62 match 2 shared topics	Blog \| Thibault Béranger	en	technology-and-computing	robotsllmsaihumans	emailphone	none
badboi.dev ↗	62 match 2 shared topics	BadBoi.dev \| My name is John. I’m a software engineer who lives in The Bay. I do mostly frontend stuff for my job, but I like tinker with systems programming and other lower level things for fun. I’m currently interested in learning about Rust. I enjoy running, cycling, and eating.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
inacsb.com ↗	62 match 2 shared topics	Not a Computer Scientist, But…	en	technology-and-computing	robotsllmsaihumans	emailphone	none
blake3.dev ↗	62 match 2 shared topics	GitHub - BLAKE3-team/BLAKE3: the official Rust and C implementations of the BLAKE3 cryptographic hash function · GitHub	en	technology-and-computing	robotsllmsaihumans	emailphone	none
blake3.io ↗	62 match 2 shared topics	GitHub - BLAKE3-team/BLAKE3: the official Rust and C implementations of the BLAKE3 cryptographic hash function · GitHub	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.