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High Performance MySQL - Learn to Build Fast, Reliable, Scalable Systems with MySQL — 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 Databases →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
lansalo.com ↗	63 match 2 shared topics	Scala Notes – Scala	en	databases WordPress	robotsllmsaihumans	emailphone	none
rogerweissenbrunner.com ↗	62 match 2 shared topics	Roger Weißenbrunner	en	databases	robotsllmsaihumans	emailphone	full · 15
approachcoach.co.uk ↗	62 match 2 shared topics	Approach Coach: Lotus Approach as a database learning resource	GB en	databases	robotsllmsaihumans	email phone	none
access-developer-4hire.com ↗	61 match 2 shared topics	Access Programmer for Hire - Turn Your Data into Knowldge and POWER!	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
doniyor.dev ↗	60 match 2 shared topics	Doniyor Mekhmonov \| Data Analyst — Python, SQL & Power BI	en	programming-languages Spree Commerce	robotsllmsaihumans	emailphone	none
mirsayeedhassan.com ↗	60 match 2 shared topics	Mir Sayeed Hassan – Oracle Blog Oracle Tutorials \| Tips & Tricks \| Oracle Database Blog Tutorials	en	databases WordPress	robotsllmsaihumans	emailphone	none
douglane.net ↗	60 match 2 shared topics	About Doug - Doug Lane	en	databases WordPress	robotsllmsaihumans	emailphone	none
dorkusmalorkus.dev ↗	60 match 2 shared topics	home \| dorkusmalorkus.dev - Programming Blog	en	programming-languages	robotsllmsaihumans	emailphone	none
adventofsql.com ↗	60 match 2 shared topics	Advent of SQL	en	programming-languages	robotsllmsaihumans	emailphone	none
christianlarsenrpg.com ↗	60 match 2 shared topics	Christian Larsen RPG	en	databases WordPress	robotsllmsaihumans	emailphone	none
chuanjin.me ↗	60 match 2 shared topics	DevNotes - Concise, Handy and Elegant Notes for Developers	en	databases	robotsllmsaihumans	emailphone	none
0xmrjane.com ↗	60 match 2 shared topics	MongoDB \| 0xmrjane	en	databases	robotsllmsaihumans	emailphone	none
access-vba.com ↗	60 match 2 shared topics	Access VBA – Creating powerful database programs	en	databases WordPress	robotsllmsaihumans	emailphone	none
bagirathan.com ↗	60 match 2 shared topics	Bagi Chandrakasan	en	databases	robotsllmsaihumans	emailphone	none
donmowry.com ↗	60 match 2 shared topics	Don Mowry	en	programming-languages	robotsllmsaihumans	emailphone	none
functionalz.com ↗	60 match 2 shared topics	Things that i do at work.	en	programming-languages	robotsllmsaihumans	emailphone	none
kylenunery.com ↗	60 match 2 shared topics	Kyle Nunery	en	programming-languages Ghost	robotsllmsaihumans	emailphone	none
lamadly.com ↗	60 match 2 shared topics	Lamadly	en	databases	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.