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ConedaKOR | Coneda — 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
sqlserver.doctor ↗	61 match 1 shared topics	Think, Act, Harvest, Repeat. \| Craven "4" IT	de	databases WordPress	robotsllmsaihumans	emailphone	none
bigtestdata.online ↗	60 match 1 shared topics	Big Test Data \| Kistler DE	de	databases	robotsllmsaihumans	emailphone	none
bitwise.exposed ↗	60 match 1 shared topics	bitwise.exposed – about data	de	databases WordPress	robotsllmsaihumans	emailphone	none
bival.group ↗	60 match 1 shared topics	BIVAL \| Data Science	de	databases Wix	robots llmsaihumans	emailphone	none
accessunddatenexpertise-olsberg.org ↗	60 match 1 shared topics	Mentoring für Access & SQL Server Modernisierung \| On-Prem Experte	de	databases	robotsllmsaihumans	emailphone	none
melusine.info ↗	60 match 1 shared topics	Willkommen! \| Melusine-Online-Archiv (MOA) V1.0 - Demoversion	de	databases Drupal	robotsllmsaihumans	emailphone	none
minceddata.info ↗	60 match 1 shared topics	Mincing Data - Gain insight from data - Mincing Data - Gain Insight from Data	de	databases Jimdo	robotsllmsaihumans	emailphone	none
sozialaktie.org ↗	60 match 1 shared topics	Datenbanken und Anwendungsentwicklung	de	databases	robotsllmsaihumans	emailphone	none
speciesfile.org ↗	60 match 1 shared topics	SFS Homepage	de	databases	robotsllmsaihumans	emailphone	none
spenden-auf-zeit.org ↗	60 match 1 shared topics	Datenbanken und Anwendungsentwicklung	de	databases	robotsllmsaihumans	emailphone	none
spendenportal.org ↗	60 match 1 shared topics	Datenbanken und Anwendungsentwicklung	de	databases	robotsllmsaihumans	emailphone	none
spielplatzkataster.net ↗	60 match 1 shared topics	geoVAL Informationssysteme	de	databases	robotsllmsaihumans	emailphone	none
sprachmittler.com ↗	60 match 1 shared topics	Dolmetscher u. Übersetzer, Datenbank, suchen und finden - Sprachmittler-TRUU©	de	databases	robotsllmsaihumans	emailphone	none
sql2rest.com ↗	60 match 1 shared topics	SQL2REST \| REST API für JTL-Wawi & ERP-Datenbanken	Germany~ de	databases	robotsllmsaihumans	emailphone	none
sqlformat.org ↗	60 match 1 shared topics	sqlformat: Online SQL Formatter	de	databases	robotsllmsaihumans	emailphone	none
sqlgenerate.org ↗	60 match 1 shared topics	SPGen(erator).org	de	databases	robotsllmsaihumans	emailphone	none
sqlite.org ↗	60 match 1 shared topics	SQLite Home Page	de	databases	robotsllmsaihumans	emailphone	none
sqlshipper.com ↗	60 match 1 shared topics	Home - SQL Shipper	de	databases 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.