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Squawk — a linter for Postgres migrations — 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
dataprep.ai ↗	64 match 2 shared topics	DataPrep — Low code data preparation in Python	en	programming-languages	robotsllmsaihumans	emailphone	none
sqlfiddle.com ↗	63 match 2 shared topics	SQL Fiddle - Online SQL Compiler for learning & practice	en	programming-languages	robotsllmsaihumans	emailphone	none
spivhack.com ↗	63 match 2 shared topics	SpivHack — DSA Reference	en	programming-languages	robotsllmsaihumans	emailphone	none
graphql.org ↗	63 match 2 shared topics	GraphQL \| The query language for modern APIs	en	programming-languages	robotsllmsaihumans	emailphone	none
hrvoje-krizan.com ↗	62 match 2 shared topics	Hrvoje Križan – Software Architect / .NET and SQL Server enthusiast / Point of sale / ECR payment integrations and stuff	en	databases WordPress	robotsllmsaihumans	emailphone	none
datacrafts.org ↗	62 match 2 shared topics	GitHub - yongjiaw/noschema: NoSchema is for NoSQL, this Scala library is made for NoSQL schema management · GitHub	en	databases	robotsllmsaihumans	emailphone	none
sqlmarrow.com ↗	62 match 2 shared topics	SQLMarrow \| Master Database Engineering	en	databases	robotsllmsaihumans	emailphone	none
datascihubs.com ↗	62 match 2 shared topics	DATASCIHUBS ‣ To Explore More on Data	en	programming-languages WordPress	robots llmsaihumans	emailphone	none
heliorm.com ↗	62 match 2 shared topics	HeliORM \| HeliORM is a code-first object-relational model for accessing SQL data from Java. It allows compile time type safe SQL queries from Java code.	en	databases	robotsllmsaihumans	emailphone	none
evalsql.net ↗	61 match 2 shared topics	SQL Eval Function	en	databases	robotsllmsaihumans	emailphone	none
eval-sql.net ↗	61 match 2 shared topics	SQL Eval Function	en	databases	robotsllmsaihumans	emailphone	none
datavery.app ↗	61 match 2 shared topics	DataVery.app — Shamsaddin Amanov	en	programming-languages	robotsllmsaihumans	emailphone	none
datapythonscience.com ↗	61 match 2 shared topics	Notes on Data Science, Python, ML, systems and more - Logging problems and how to get around them	en	databases WordPress	robotsllmsaihumans	emailphone	none
datascientyst.com ↗	61 match 2 shared topics	DataScientYst - Data Science Simplified	en	databases Ghost	robotsllmsaihumans	emailphone	none
sqlservercentral.com ↗	61 match 2 shared topics	SQLServerCentral – The #1 SQL Server community	en	databases WordPress	robots llmsaihumans	emailphone	partial · 2
buenavad.com ↗	61 match 2 shared topics	Daniel's blog – Enjoy me… today is for free!!!	en	programming-languages WordPress	robotsllmsaihumans	emailphone	partial · 8
datawebprogramming.com ↗	61 match 2 shared topics	DataWeb Programming – Turning your data into information	en	databases WordPress WooCommerce	robotsllmsaihumans	emailphone	none
kbcomputer.com ↗	61 match 2 shared topics	KB Computer Associates - Experience, Integrity, Reliability	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.