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linked-db
linked-ql
JavaScript2024–2025
linked-db / linked-ql

linked-ql

Universal database contract for applications and agents.

2Distinct people
4Mentions
0Explicit recommenders
66GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Universal database contract for applications and agents.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 12:54:37 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month4 dated mentions

Observed mentions: 2024-08-01 15:10:19 UTC to 2025-12-13 18:23:07 UTC.

01232024-08-01 00:00:00 UTC to 2024-09-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsAug 20242024-09-01 00:00:00 UTC to 2024-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-10-01 00:00:00 UTC to 2024-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-01 00:00:00 UTC to 2024-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-12-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2025-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-02-01 00:00:00 UTC to 2025-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-01 00:00:00 UTC to 2025-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-01 00:00:00 UTC to 2025-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsApr 20252025-05-01 00:00:00 UTC to 2025-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-06-01 00:00:00 UTC to 2025-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-01 00:00:00 UTC to 2025-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-08-01 00:00:00 UTC to 2025-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-09-01 00:00:00 UTC to 2025-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-10-01 00:00:00 UTC to 2025-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-11-01 00:00:00 UTC to 2025-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 commentsDec 2025

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Aug 20242024-08-01 00:00:00 UTC2024-09-01 00:00:00 UTC110
Sep 20242024-09-01 00:00:00 UTC2024-10-01 00:00:00 UTC000
Oct 20242024-10-01 00:00:00 UTC2024-11-01 00:00:00 UTC000
Nov 20242024-11-01 00:00:00 UTC2024-12-01 00:00:00 UTC000
Dec 20242024-12-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
Jan 20252025-01-01 00:00:00 UTC2025-02-01 00:00:00 UTC000
Feb 20252025-02-01 00:00:00 UTC2025-03-01 00:00:00 UTC000
Mar 20252025-03-01 00:00:00 UTC2025-04-01 00:00:00 UTC000
Apr 20252025-04-01 00:00:00 UTC2025-05-01 00:00:00 UTC000
May 20252025-05-01 00:00:00 UTC2025-06-01 00:00:00 UTC000
Jun 20252025-06-01 00:00:00 UTC2025-07-01 00:00:00 UTC000
Jul 20252025-07-01 00:00:00 UTC2025-08-01 00:00:00 UTC000
Aug 20252025-08-01 00:00:00 UTC2025-09-01 00:00:00 UTC000
Sep 20252025-09-01 00:00:00 UTC2025-10-01 00:00:00 UTC000
Oct 20252025-10-01 00:00:00 UTC2025-11-01 00:00:00 UTC000
Nov 20252025-11-01 00:00:00 UTC2025-12-01 00:00:00 UTC000
Dec 20252025-12-01 00:00:00 UTC2026-01-01 00:00:00 UTC312

What Hacker News says

4 sources
Thanks for reading through and for these questions. I'll take them in their order: --- Auth / RLS Yes — LinkedQL works with Postgres Row-Level Security. Each LinkedQL connection is equivalent to a regular DB connection (e.g., new LinkedQLClient(connectionInfo) is like new pg.Client(connectionInfo)). There’s no new permission model to maintain — the DB remains the enforcement point. Live queries always execute under the same authenticated role you provided, so RLS policies apply on every refresh or incremental update. LinkedQL never uses a “superuser” backend that could widen visibility. -- Replication limits & scaling Right now, each database connection supports one logical replication slot. LinkedQL dedupes overlapping live queries on top of it — so 1,000 clients watching the same underlying SELECT only cost the DB one change stream. We
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plan to support a distributed architecture as well — multiple instances of the live query engine coordinating load for high-traffic deployments. --- Why an npm package (and future extension) Right now LinkedQL plugs directly into JavaScript apps, matching how many teams already query Postgres from frontend or backend code. We definitely have a Postgres extension in the roadmap for your exact use case – tighter operational integration. --- Schema migration story This is also one I’m personally excited about. We previously had an automatic schema versioning layer in the earlier LinkedQL prototype: https://github.com/linked-db/linked-ql/wiki/Automatic-Schema... https://github.com/linked-db/linked-ql/wiki/Migrations The goal in the current version is a cleaner rewrite of that whole feature. So, migration support is returning – with everything we learned in the previous baked in. For example, while the previous implementation of the diff-based migration feature spoke JSON for schema declarations, we plan to let that be pure SQL – yet, diff-based. --- Thanks again for the thoughtful look! We can zoom into any other area of your choice.
In Show HN: LinkedQL – Live Queries over Postgres, MySQL, MariaDB
phrasecode·Dec 8, 2025Submission

Show HN: LinkedQL – Live Queries over Postgres, MySQL, MariaDB

LinkedQL is a new SQL client that supports live queries over any Postgres, MySQL, and MariaDB database. You get result sets that self-update differentially as rows change in your database – via inserts, updates, deletes. Works with no extra tooling/ORM layer or GraphQL servers. You opt into live mode simply with a flag: client.query('SELECT ...', { live: true }). More at: https://linked-ql.netlify.app/capabilities/live-queries LinkedQL is written in JavaScript and runs in both client and server environments. GitHub + docs: https://github.com/linked-db/linked-ql Demo examples included. I’d love feedback: • Anything confusing? • Anything seems useful or dangerous? • Anything else that'd make you consider LinkedQL for production? Thanks for taking a look — happy to answer any questions.
31 points · Open discussion
phrasecode·Aug 1, 2024Submission

Show HN: Linked QL – a "magic wand" query client for your database

Hey #SQL and #js people, I'm stoked to introduce Linked QL - a “magic wand” query client for your database that simplifies how you query data and manage your schemas. If you've worked with structured data on a real world project, then chances are that you've also had a hair-pulling experience figuring out relational queries, managing schemas and coordinating dozens of migration files. You also may have had to move from a tool like Prisma to one like Drizzle in search of sanity, and then realise that this too inherits everything that makes an ORM and ORM! I am writing Linked QL to be everything I've ever wished for in a database access layer. We're proudly introducing: 1. a whole new syntax extension to SQL that gives you magic path operators for your relational queries (in place of the regular ORM) 2. a powerful little addition to yo
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ur database that gives you automatic database versioning and a whole new migrations experience You’ll probably love a modern and simplistic take on SQL and databases in general! I'll be more than glad to have your feedback on this work, ahead of our launch in a few days.
6 points · Open discussion

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