3 ms·

Show HN: Jexxa: High Speed on Device Dictation

6 points by sankde 20d ago

Jexxa Demo: https://lnkd.in/p/gvpF4nJN https://lnkd.in/p/gvpF4nJN

copper-float 20d 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 20d 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 20d 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 20d ago
    The way this used to be handled is to sell new versions.
    - sankde 20d ago
      Yes. Newer models is the direction I am going in. New Models are expensive.
- vlovich123 20d 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.
  - sankde 20d ago
    Thanks. I don't want my data, especially voice and text to be sent to servers. That's why I built this. I love my competitor's product, but the amount of private data I sent over was really uncomfortable to me. Especially when sometimes it included Phone Numbers and some private info. At the same time, tools like mine will fall behind if I don't keep updating the models.
    - woadwarrior01 19d ago
      If you care so much about user privacy, why do you exfiltrate events named "dictation_started", "dictation_completed", "dictation_rejected", "dictation_blocked", "insertion_failed", etc to PostHog, with properties named: "audio_seconds", "latency_ms", "duration_ms", "install_id", etc?
      - vlovich123 19d ago
        Because anyone building a system needs performance metrics to understand how it’s behaving in aggregate / if they update the model? With the exception of install_id these all seem innocuous. Install_id is maybe needed anyway for purchase management. Probably could use a session uuid to track the other metrics at the cost of blinding you to being able to find individual customers with a bad experience which is probably much more important for a small player like this.
        woadwarrior01 19d ago
        Apple provides APIs for doing this in a privacy-sensitive way, instead of exfiltrating data like this, carte blanche using PostHog. https://developer.apple.com/documentation/metrickit https://developer.apple.com/documentation/metrickit
        sankde 19d ago
        Thanks for your Feedback. More Privacy Improvements, Package Corrections and Attribution Incoming.
RGS1811 20d ago
[dead]
dangoodmanUT 20d ago
> "Your voice and text never leave the machine" > "Runs on your Mac — no upload, no queue" > $8/month
- sankde 20d 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 20d 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…
    - sankde 20d ago
      Yes, I have used Handy, a lot. Open Models need the system around them to keep getting better. Also faster. The models you have quoted take a lot of RAM, especially on Mac. That's why I am optimizing my models too.
hmokiguess 20d ago
You should include your demo video on your landing page
woadwarrior01 20d 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-httpsjexxaorg-ugcPost-7505546140248092672-llql/ https://www.linkedin.com/posts/sankyde_jexxa-demo-httpsjexxa...
- deleted 19d ago
  [deleted]

6 points by sankde 20d ago

Jexxa Demo: https://lnkd.in/p/gvpF4nJN https://lnkd.in/p/gvpF4nJN

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 20d 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 20d 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 20d ago
  The way this used to be handled is to sell new versions.
  - sankde 20d ago
    Yes. Newer models is the direction I am going in. New Models are expensive.
vlovich123 20d 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.
- sankde 20d ago
  Thanks. I don't want my data, especially voice and text to be sent to servers. That's why I built this. I love my competitor's product, but the amount of private data I sent over was really uncomfortable to me. Especially when sometimes it included Phone Numbers and some private info. At the same time, tools like mine will fall behind if I don't keep updating the models.
  - woadwarrior01 19d ago
    If you care so much about user privacy, why do you exfiltrate events named "dictation_started", "dictation_completed", "dictation_rejected", "dictation_blocked", "insertion_failed", etc to PostHog, with properties named: "audio_seconds", "latency_ms", "duration_ms", "install_id", etc?
    - vlovich123 19d ago
      Because anyone building a system needs performance metrics to understand how it’s behaving in aggregate / if they update the model? With the exception of install_id these all seem innocuous. Install_id is maybe needed anyway for purchase management. Probably could use a session uuid to track the other metrics at the cost of blinding you to being able to find individual customers with a bad experience which is probably much more important for a small player like this.
      - woadwarrior01 19d ago
        Apple provides APIs for doing this in a privacy-sensitive way, instead of exfiltrating data like this, carte blanche using PostHog. https://developer.apple.com/documentation/metrickit https://developer.apple.com/documentation/metrickit
        sankde 19d ago
        Thanks for your Feedback. More Privacy Improvements, Package Corrections and Attribution Incoming.

RGS1811 20d ago

[dead]

dangoodmanUT 20d ago

> "Your voice and text never leave the machine" > "Runs on your Mac — no upload, no queue" > $8/month

sankde 20d 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 20d 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…
  - sankde 20d ago
    Yes, I have used Handy, a lot. Open Models need the system around them to keep getting better. Also faster. The models you have quoted take a lot of RAM, especially on Mac. That's why I am optimizing my models too.

hmokiguess 20d ago

You should include your demo video on your landing page

woadwarrior01 20d 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-httpsjexxaorg-ugcPost-7505546140248092672-llql/ https://www.linkedin.com/posts/sankyde_jexxa-demo-httpsjexxa...

deleted 19d ago
[deleted]