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PyliteORM Document — 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 →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
dbfromzero.com 62 match
2 shared topics
DB From Zero en programming-languages robotsllmsaihumans emailphone none
ghostaldev.com 61 match
2 shared topics
ghostaldev - A development blog by Alex Miles en programming-languagesGhost robotsllmsaihumans emailphone none
kccoder.com 61 match
2 shared topics
Kansas City Software Development :: KCCoder en databases robotsllmsaihumans emailphone none
mysql2code.com 61 match
2 shared topics
MySQL2Code - Generate classes from table definitions en databases robotsllmsaihumans emailphone none
abajwa.com 61 match
2 shared topics
Bajwa Blog | Learning Art and Science of Software Development en programming-languages robotsllmsaihumans emailphone none
nigelrivett.net 61 match
2 shared topics
SQL Server development techniques and sql scripts. Author Nigel Rivett en databases robotsllmsaihumans emailphone none
aaronolszewski.com 61 match
2 shared topics
Data, Tech & Cycling – Exploring data / tech with a hint of cycling en databasesWordPressWooCommerce robotsllmsaihumans emailphone none
nextdepartures.net 60 match
2 shared topics
philvessey/NextDepartures: NextDepartures is a .NET Library that queries GTFS (General Transit Feed Specification) data sets stored locally, or in a database such as MySQL, PostgreSQL, SQLite or SQL Server. The library will work with any well-formed GTFS data set. - Codeberg.org en databases robotsllmsaihumans emailphone none
sqlfu.dev 60 match
2 shared topics
sqlfu en databases robotsllmsaihumans emailphone none
mappm.top 60 match
2 shared topics
技术博客 en databases robotsllmsaihumans emailphone none
md5online.services 60 match
2 shared topics
MD5 - Online generator md5 hash en programming-languages robotsllmsaihumans emailphone none
md5.tips 60 match
2 shared topics
MD5 - Online generator md5 hash en programming-languages robotsllmsaihumans emailphone none
md5.systems 60 match
2 shared topics
MD5 - Online generator md5 hash en programming-languages robotsllmsaihumans emailphone none
md5.services 60 match
2 shared topics
MD5 - Online generator md5 hash en programming-languages robotsllmsaihumans emailphone none
md5.news 60 match
2 shared topics
MD5 - Online generator md5 hash en programming-languages robotsllmsaihumans emailphone none
wildatheart.dev 60 match
2 shared topics
mroesler - my first web page en databases robotsllmsaihumans emailphone none
williamjallen.dev 60 match
2 shared topics
Home - William Allen en programming-languages robotsllmsaihumans emailphone none
windowfunctions.com 60 match
2 shared topics
Advanced SQL window functions quiz 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:

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.