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5. PostgreSQL Konferansı - 22 Eylül 2018 — 7 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 →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
4stat.net 60 match
1 shared topics
4stat.net — İstatistiğin en kolay hali tr databases robotsllmsaihumans emailphone none
atabeyobs.com 60 match
1 shared topics
ATABEY | Online Bilgi Sistemi tr databases robotsllmsaihumans emailphone none
gcris.com 60 match
1 shared topics
Gcris Veri Tabanı | Research Ecosystems tr databasesWix robotsllmsaihumans emailphone none
nevlex.com 60 match
1 shared topics
Nevlex | Yazılım, Büyük Veri, İş Zekası, Veri Tabanı Danışmanlığı, Analitik, Dijital Analitik, Oracle Danışmanlığı tr databasesWordPressWooCommerce robotsllmsaihumans emailphone partial · 8
smartdataquality.com 60 match
1 shared topics
Innobi - SmartDQ | SmartODI | SmartLIN | SmartGOV tr databases robotsllmsaihumans emailphone none
erolakgul.net 30 match
1 shared topics
{ } Veritabanı & Yazılım Geliştirme – #NET/Core API/MVC #SQLServer #Oracle #MySql #MongoDB #Canias #SAPB1 tr databasesWordPress robotsllmsaihumans emailphone none
1page-query.com 30 match
1 shared topics
1pageQuery — Veritabanın için Türkçe AI raporlama tr databases robotsllmsaihumans emailphone partial · 8

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:

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.