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Jasperav
Catalytic
Rust2023–2023
Jasperav / Catalytic

Catalytic

🚀 Catalytic is an ORM for ScyllaDb and Cassandra which provides zero-cost abstractions for querying and generating Rust structs based on the database. Scylla and Cassandra are both NoSQL databases which can scale horizontally and hold large amounts of data.

2Distinct people
2Mentions
0Explicit recommenders
104GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

🚀 Catalytic is an ORM for ScyllaDb and Cassandra which provides zero-cost abstractions for querying and generating Rust structs based on the database. Scylla and Cassandra are both NoSQL databases which can scale horizontally and hold large amounts of data.

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

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 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 hour2 dated mentions

Observed mentions: 2023-02-09 14:52:15 UTC to 2023-02-09 16:42:25 UTC.

012023-02-09 14:00:00 UTC to 2023-02-09 15:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsFeb 9, 14:002023-02-09 15:00:00 UTC to 2023-02-09 16:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsFeb 9, 15:002023-02-09 16:00:00 UTC to 2023-02-09 17:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsFeb 9, 16:00

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
Feb 9, 14:002023-02-09 14:00:00 UTC2023-02-09 15:00:00 UTC101
Feb 9, 15:002023-02-09 15:00:00 UTC2023-02-09 16:00:00 UTC000
Feb 9, 16:002023-02-09 16:00:00 UTC2023-02-09 17:00:00 UTC101

What Hacker News says

2 sources
Hey all, After years of working, I finally completed Beezle Social, discover local events! Beezle Social is an app that is ready to be downloaded on the App Store and possibly soon on the Play store as well! With Beezle, you can explore events happening nearby. Check out the website at https://beezleapp.com/. The app can be downloaded at: https://apps.apple.com/us/app/beezle-social/id1661982809. I completed this on my own. Rust is used at the backend. I did choose Rust because of its safety and speed. I took me awhile to get used to the type-system, but after that, I was amazed by the functionality and ecosystem. It is a joy working with macro's, cargo and code quality of other libraries. Swift is used at the frontend. Obviously I preferred Swift over Obj-c. I used SwiftUI + UIKit to make the UI. The whole chatting part is done with UIKit
Read the rest
because SwiftUI does not support advanced text editing options. I used some hacks in the chatting part to make sure SwiftUI doesn't reload everything all the time when a new message comes in. AWS is used at the deploying side. I used ECS and Docker to deploy the server and a lot of other services for media, CDN and mailing system. Beezle used libraries I created: https://github.com/Jasperav/Catalytic and https://github.com/Jasperav/GRDB-ORM. Catalytic is an ORM for the scylla-rust-driver and GRDB-ORM an ORM for GRDB. I am happy to answer any question! Please download the app, leave a review and ping me if you missing features.
In My App 'Beezle Social' Is Live on the App Store. Used: Rust, Swift and AWS
Hey all, After years of working, I finally completed Beezle Social, discover local events! Beezle Social is an app that is ready to be downloaded on the App Store and possibly soon on the Play store as well! With Beezle, you can explore events happening nearby. Check out the website at https://beezleapp.com/. The app can be downloaded at: https://apps.apple.com/us/app/beezle-social/id1661982809. I completed this on my own. Rust is used at the backend. I did choose Rust because of its safety and speed. I took me awhile to get used to the type-system, but after that, I was amazed by the functionality and ecosystem. It is a joy working with macro's, cargo and code quality of other libraries. Swift is used at the frontend. Obviously I preferred Swift over Obj-c. I used SwiftUI + UIKit to make the UI. The whole chatting part is done with UIKit
Read the rest
because SwiftUI does not support advanced text editing options. I used some hacks in the chatting part to make sure SwiftUI doesn't reload everything all the time when a new message comes in. AWS is used at the deploying side. I used ECS and Docker to deploy the server and a lot of other services for media, CDN and mailing system. Beezle used libraries I created: https://github.com/Jasperav/Catalytic and https://github.com/Jasperav/GRDB-ORM. Catalytic is an ORM for the scylla-rust-driver and GRDB-ORM an ORM for GRDB. I am happy to answer any question! Please download the app, leave a review and ping me if you missing features.
In [dead]

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