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aquametalabs
aquameta
PLpgSQL2018–2025
aquametalabs / aquameta

aquameta

Web development platform built entirely in PostgreSQL

10Distinct people
14Mentions
0Explicit recommenders
1.1KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Web development platform built entirely in PostgreSQL

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, 5:04:57 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 year14 dated mentions

Observed mentions: 2018-11-17 12:49:33 UTC to 2025-05-23 14:31:04 UTC.

0123452018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 5 mentions; 1 submissions, 4 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments2024-01-01 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 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025

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
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC110
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC514
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC202
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC202
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC312
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC101

What Hacker News says

14 sources
Has anybody seen any work where CRDTs get insight into conflict resolution using the underlying grammar of whatever text is being written (aka English, Javascript, regex, etc.)? Seems like the conflict resolution could do a better job if it knew the EBNF of the text that was being edited. Also, any prior art on CRDTs over relational data? I suppose each single field would potentially be an "editable space", but on a long document (say a Javascript code block), updating the whole thing in the db by overwriting it with each edit would not be very efficient. Seems like there could be a datatype that was a little smarter than "text", that could handle more granular updates, that implemented a CRDT index under the hood? I'm working on a VCS for relational data [1] which is more on the not-so-realtime-collaborative-editing end of the spectr
Read the rest
um, but would really like to figure out how to handle real-time collaborative editing in this space. Maybe over WebRTC? I found a little bit of prior art w.r.t. CRDT over WebRTC. [2] [1]: https://github.com/aquametalabs/aquameta/tree/master/src/pg-... [2]: https://github.com/mattkrick/rich
In CRDTs are the future
Ahh okay, that makes sense. I wasn't aware that using different methods of copying + backing up data had tangible effects on it later. Super interesting, and vital if you're looking to gather accurate data from experiments. By the way, I recognized you guys from the other tool you publish, Nancy. While I don't have a direct usecase for it myself, I thought the idea was super valuable as well. I am a huge Postgres guy (did you know you can build an entire web app in JUST Postgres?[0]) so I had bookmarked a couple of your projects. Thank you for the response, you guys do some fantastic work. [0]: https://github.com/aquametalabs/aquameta
In Database Lab – Full-size staging databases as a service

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