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haruska.com | notes, commentary and opinions on tech — 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
johnquarto.com ↗	66 match 2 shared topics	JohnQuarto.com – I came. I saw. I commented.	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
josephuspaye.com ↗	65 match 2 shared topics	Josephus’ Notes \| Notion	en	technology-and-computing	robotsllmsaihumans	emailphone	none
anydata.co.uk ↗	65 match 2 shared topics	Fred Youhanaie \| Blog posts and project notes.	GB en	technology-and-computing	robotsllmsaihumans	emailphone	none
anydata.uk ↗	65 match 2 shared topics	Fred Youhanaie \| Blog posts and project notes.	GB en	technology-and-computing	robotsllmsaihumans	emailphone	none
jmoorewv.com ↗	64 match 2 shared topics	Tech Guides, Reviews, and Applications - JMooreWV	en	technology-and-computing WordPress	robots llmsaihumans	emailphone	none
josetonyp.com ↗	64 match 2 shared topics	Jose Antonio Pio \| Software engineering and management notes on web development, databases, devops, and engineering leadership.	en	programming-languages	robotsllmsaihumans	emailphone	none
mytechblog.co.uk ↗	64 match 2 shared topics	My Tech Blog - Adventures in tech documented	GB en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
developerlife.com ↗	64 match 2 shared topics	developerlife.com \| Rust, TUI, Android, Web, Desktop, Cloud technologies, and UX engineering and design tutorials.	en	programming-languages	robotsllmsaihumans	emailphone	none
jordanjambazov.com ↗	64 match 2 shared topics	Jordan Jambazov \| Software Developer. Proud dad of three kids. All opinions are wrong, but some are useful.	en	programming-languages	robotsllmsaihumans	emailphone	none
lu-pan.com ↗	64 match 2 shared topics	Lu’s blog \| Learnings on system and programming.	en	programming-languages	robotsllmsaihumans	emailphone	none
narendravardi.com ↗	64 match 2 shared topics	Narendra Vardi \| Tech Insights, Code, & Innovations	en	programming-languages Ghost	robotsllmsaihumans	emailphone	none
currentlycompiling.com ↗	64 match 2 shared topics	CurrentlyCompiling – Code Chronicles: Exploring Computer Science and Tech News	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	full · 12
discordphp.org ↗	63 match 2 shared topics	DiscordPHP Community - Discord Servers	en	technology-and-computing	robotsllmsaihumans	emailphone	none
devcliffs.com ↗	63 match 2 shared topics	DevCliffs – No fuss Dev Notes	en	technology-and-computing	robotsllmsaihumans	emailphone	none
developerleaf.com ↗	63 match 2 shared topics	Beyond Writing Code - Human Skills for Developers	en	technology-and-computing	robotsllmsaihumans	emailphone	none
joaovictorlira.com ↗	63 match 2 shared topics	Home \| Blog of João Victor Lira	en	programming-languages	robotsllmsaihumans	emailphone	partial · 8
suvratapte.com ↗	63 match 2 shared topics	Ponderings of a Curious Mind \| This is a tech blog by Suvrat Apte. About Emacs, Clojure and other interesting things.	en	programming-languages	robotsllmsaihumans	emailphone	none
awesome-fluxer.com ↗	63 match 2 shared topics	awesome-fluxer \| A community-maintained list of Fluxer projects, libraries, utilities, and more.	en	programming-languages	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.