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Frikallo
parakeet.cpp
C++2026–2026
Frikallo / parakeet.cpp

parakeet.cpp

Ultra fast and portable Parakeet implementation for on-device inference in C++ using Axiom with MPS+Unified Memory

2Distinct people
2Mentions
0Explicit recommenders
307GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Ultra fast and portable Parakeet implementation for on-device inference in C++ using Axiom with MPS+Unified Memory

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, 1:49:46 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 6-hour interval2 dated mentions

Observed mentions: 2026-02-27 03:48:05 UTC to 2026-03-05 09:23:28 UTC.

012026-02-27 00:00:00 UTC to 2026-02-27 06:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsFeb 27, 00:002026-02-27 06:00:00 UTC to 2026-02-27 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-02-27 12:00:00 UTC to 2026-02-27 18:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-02-27 18:00:00 UTC to 2026-02-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-02-28 00:00:00 UTC to 2026-02-28 06:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-02-28 06:00:00 UTC to 2026-02-28 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-02-28 12:00:00 UTC to 2026-02-28 18:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-02-28 18:00:00 UTC to 2026-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-01 00:00:00 UTC to 2026-03-01 06:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-01 06:00:00 UTC to 2026-03-01 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-01 12:00:00 UTC to 2026-03-01 18:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-01 18:00:00 UTC to 2026-03-02 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-02 00:00:00 UTC to 2026-03-02 06:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsMar 2, 00:002026-03-02 06:00:00 UTC to 2026-03-02 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-02 12:00:00 UTC to 2026-03-02 18:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-02 18:00:00 UTC to 2026-03-03 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-03 00:00:00 UTC to 2026-03-03 06:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-03 06:00:00 UTC to 2026-03-03 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-03 12:00:00 UTC to 2026-03-03 18:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-03 18:00:00 UTC to 2026-03-04 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-04 00:00:00 UTC to 2026-03-04 06:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-04 06:00:00 UTC to 2026-03-04 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-04 12:00:00 UTC to 2026-03-04 18:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-04 18:00:00 UTC to 2026-03-05 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-05 00:00:00 UTC to 2026-03-05 06:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-05 06:00:00 UTC to 2026-03-05 12:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsMar 5, 06:00

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 27, 00:002026-02-27 00:00:00 UTC2026-02-27 06:00:00 UTC110
Feb 27, 06:002026-02-27 06:00:00 UTC2026-02-27 12:00:00 UTC000
Feb 27, 12:002026-02-27 12:00:00 UTC2026-02-27 18:00:00 UTC000
Feb 27, 18:002026-02-27 18:00:00 UTC2026-02-28 00:00:00 UTC000
Feb 28, 00:002026-02-28 00:00:00 UTC2026-02-28 06:00:00 UTC000
Feb 28, 06:002026-02-28 06:00:00 UTC2026-02-28 12:00:00 UTC000
Feb 28, 12:002026-02-28 12:00:00 UTC2026-02-28 18:00:00 UTC000
Feb 28, 18:002026-02-28 18:00:00 UTC2026-03-01 00:00:00 UTC000
Mar 1, 00:002026-03-01 00:00:00 UTC2026-03-01 06:00:00 UTC000
Mar 1, 06:002026-03-01 06:00:00 UTC2026-03-01 12:00:00 UTC000
Mar 1, 12:002026-03-01 12:00:00 UTC2026-03-01 18:00:00 UTC000
Mar 1, 18:002026-03-01 18:00:00 UTC2026-03-02 00:00:00 UTC000
Mar 2, 00:002026-03-02 00:00:00 UTC2026-03-02 06:00:00 UTC000
Mar 2, 06:002026-03-02 06:00:00 UTC2026-03-02 12:00:00 UTC000
Mar 2, 12:002026-03-02 12:00:00 UTC2026-03-02 18:00:00 UTC000
Mar 2, 18:002026-03-02 18:00:00 UTC2026-03-03 00:00:00 UTC000
Mar 3, 00:002026-03-03 00:00:00 UTC2026-03-03 06:00:00 UTC000
Mar 3, 06:002026-03-03 06:00:00 UTC2026-03-03 12:00:00 UTC000
Mar 3, 12:002026-03-03 12:00:00 UTC2026-03-03 18:00:00 UTC000
Mar 3, 18:002026-03-03 18:00:00 UTC2026-03-04 00:00:00 UTC000
Mar 4, 00:002026-03-04 00:00:00 UTC2026-03-04 06:00:00 UTC000
Mar 4, 06:002026-03-04 06:00:00 UTC2026-03-04 12:00:00 UTC000
Mar 4, 12:002026-03-04 12:00:00 UTC2026-03-04 18:00:00 UTC000
Mar 4, 18:002026-03-04 18:00:00 UTC2026-03-05 00:00:00 UTC000
Mar 5, 00:002026-03-05 00:00:00 UTC2026-03-05 06:00:00 UTC000
Mar 5, 06:002026-03-05 06:00:00 UTC2026-03-05 12:00:00 UTC101

What Hacker News says

2 sources
I really like this, and have actually tried (unsuccessfully) to get PersonaPlex to run on my blackwell device - I will try this on Mac now as well. There are a few caveats here, for those of you venturing in this, since I've spent considerable time looking at these voice agents. First is that a VAD->ASR->LLM->TTS pipeline can still feel real-time with sub-second RTT. For example, see my project https://github.com/acatovic/ova and also a few others here on HN (e.g. https://www.ntik.me/posts/voice-agent and https://github.com/Frikallo/parakeet.cpp). Another aspect, after talking to peeps on PersonaPlex, is that this full duplex architecture is still a bit off in terms of giving you good accuracy/performance, and it's quite diffiult to train. On the other hand ASR->LLM->TTS gives you a composable pipeline where you can swap parts out and hav
Read the rest
e a mixture of tiny and large LLMs, as well as local and API based endpoints.
In Nvidia PersonaPlex 7B on Apple Silicon: Full-Duplex Speech-to-Speech in Swift

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