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jackyzha0
bft-json-crdt
Rust2022–2022
jackyzha0 / bft-json-crdt

bft-json-crdt

🏰 the first JSON-like Byzantine Fault Tolerant CRDT

2Distinct people
2Mentions
0Explicit recommenders
236GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

🏰 the first JSON-like Byzantine Fault Tolerant CRDT

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, 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: 2022-11-21 18:57:07 UTC to 2022-11-21 19:21:00 UTC.

012022-11-21 18:00:00 UTC to 2022-11-21 19:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsNov 21, 18:002022-11-21 19:00:00 UTC to 2022-11-21 20:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsNov 21, 19:00

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
Nov 21, 18:002022-11-21 18:00:00 UTC2022-11-21 19:00:00 UTC101
Nov 21, 19:002022-11-21 19:00:00 UTC2022-11-21 20:00:00 UTC101

What Hacker News says

2 sources
I'm quite surprised by the [benchmarks versus Automerge JS & Rust](https://github.com/jackyzha0/bft-json-crdt#benchmarks) when it comes to memory: > Ours (Basic) 27.6MB > Ours (BFT) 59.5MB > Automerge (Rust) 232.5MB I would expect adding the public key tracking to use more memory; I wonder how Automerge is spending so much more memory. Possibly on a bunch of internal caches or memoization that give the order-of-magnitude improvement in speed? > Ops: 100k > Ours (Basic) 9.321s > Ours (BFT) 38.842s > Automerge (Rust) 0.597s
In Building a BFT JSON CRDT

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