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Show HN: Jexxa: High Speed on Device Dictation

https://jexxa.org
6•sankde•57m ago
Jexxa Demo: https://lnkd.in/p/gvpF4nJN

Comments

copper-float•48m ago
One price, indefinitely for the rest of your life. The developer isn't maintaining any infrastructure, there's no ongoing cost whatsoever, so there's no reason for monthly payments.

It's just a static file on your own computer that's burning your own CPU cycles. Sorry, but it just feels a bit greedy to me.

sankde•45m ago
I was thinking of such a payment system. I would love to offer you that as I am still testing the pricing.

Edit: You also would get updates for life.

sankde•41m ago
We also have better models in training. Also the underlying system would get faster, the models smaller over time along with grammar correction, in voice commands and better live preview models
azornathogron•32m ago
The way this used to be handled is to sell new versions.
sankde•3m ago
Yes. Newer models is the direction I am going in. New Models are expensive.
vlovich123•20m ago
They have development costs to pay for which is substantial. Not sure why you are framing it as greedy and complaining it should be free vs celebrating someone putting this out there.
dangoodmanUT•33m ago
> "Your voice and text never leave the machine"

> "Runs on your Mac — no upload, no queue"

> $8/month

sankde•30m ago
Yes, I am training better models. On Device Dictation requires more resources than API based systems.

My competitor charges more and at the same time the data is being sent to someone else's servers.

cipehr•7m ago
Better models than… whisper, cohere, parakeet v2/v3? Did I miss the comparison on the webpage?

Is it just the models I’m paying for, or an app too?

I’ve been using anomalyco/HEX and MacParakeet… which are free and work great for my uses…

hmokiguess•15m ago
You should include your demo video on your landing page
woadwarrior01•9m ago
I spent ~10 minutes looking at it.

Vibe-coded website.

Both bundles contain quantized versions of the CohereLabs/cohere-transcribe-03-2026 model. The model in JEXXA.dmg is MLX int8 g64 affine quantized. JEXXA-Small.dmg has the same model but MLX int4 g32 affine quantized. There's also an int8 quantized WeSpeaker ECAPA-TDNN speaker-verification ONNX encoder. No acknowledgments for both models (doesn't the Apache 2.0 license require it? WeSpeaker's cc-by-4.0 license certainly does). Both bundles also contain full-blown Python 3.12.8 runtimes with about a dozen packages installed.

Apps are unsandboxed menubar apps and also contain PostHog analytics and Supabase auth. So, I wouldn't run it on any of my machines.

A few engineering hygiene issues like a .pytest_cache directory, Python code, .DS_Store files, etc.

Given the above, I suspect the "I am training better models." is just marketing speak.

nb: The demo link without LinkedIn tracking slop: https://www.linkedin.com/posts/sankyde_jexxa-demo-httpsjexxa...

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