Cassini Research is an independent AI lab dedicated to open-source software and research. Try Juno - Local Voice Layer for Mac. https://xitter.cf/t.co/ZowGdODCfq
Joined May 2026
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Why type when you could just useJuno to express your thoughts in the most natural ways?
— Captured with Juno · Tue, Sep 22 at 2:52 AM
Cassini Research retweeted
@CassiniRes 's Juno perrrforming perfect STT in noisy (& cute) SF cafes. OS ftw
Anthropic models are not that great anyway. Use Sol 5.6
Cassini Research retweeted
Tired of your voice notes getting sent to some cloud server just to become text? Juno by @cassiniRes runs speech-to-text entirely on your Mac, no account, no subscription, no data leaving your machine. Full specs in the next tweet. #DevTools
Cassini Research retweeted
Juno: Free, local AI powered Voice to Text w/ live transcriptions by @CassiniRes and @DecisionTree_gg producthunt.com/products/jun…
Cassini Research retweeted
Last month I wrote 250,000+ words. But I typed almost none of it. 🤯
Juno is a voice layer for Mac.
Open source. Free. No account, no cloud.
The problem with voice tools has always been the tradeoff.
- The usable ones ship every word you say to a server.
- The private ones are not feature rich.
Juno doesn't make you choose. You press a key and talk - it writes the clean version of what you meant, makes the note or reminder, rewrites text you've highlighted, all in whatever app you're already in.
And it runs entirely on your Mac.
Your voice, your transcripts, your corrections - none of it ever leaves the machine. Nothing to leak, nothing to train on.
That's the hard part. Software this capable almost always needs the cloud - we got it running fully on-device, in real time, without losing any of the smarts. For teams, that means the sensitive stuff - client calls, code, contracts - never leaves the building. Also, finance heads love our $0 price tag.
Talking was always faster than typing.
Now it's finally private too.
We just went live on Product Hunt.
PH link is in the comments.
Would love your notes, questions and feedback
— Captured with Juno · Thu, Jun 18 at 3:44 PM
Top 10 out of 750+ launches on Vercel Day? We'll take it. 🤯
Yesterday, MindReader v1 locked in the #9 spot on Product Hunt with 125 upvotes, and the energy has been unreal.
If you haven't seen what we’re building at Cassini Research yet: MindReader v1 lets you paste in your pitch deck, ad copy, or sales emails, and literally simulates how a human brain responds to it - region by region.
No actual brain scanner required. We mapped this out using neuroscience models built on 35 years of fMRI research to give you immediate, actionable neuro-metrics. Stop guessing if your copy hits and start seeing how the brain actually processes it.
We’re also openly inviting academics to come stress-test our results - let’s see how far we can push this.
Check it out here: mindreader.vercel.app 🚀
Cassini Research retweeted
How do you feel?
It's the oldest question in art and the newest one we can answer with technology.
MindReader takes any piece of content - a video, a post, a sales call - and simulates, second by second, how a brain responds. Where attention holds. Where effort spikes. What actually gets encoded into memory.
I've been running it with sales teams who want to know how a pitch landed in the buyer's head - deeper than the transcript, to see where attention dropped and where something stuck. We finally have* evals for conversation.
MindReader is built on Meta FAIR's TRIBE v2 + 35yrs of neuro research. The makers are engineers who've authored multiple academic papers and have been building open source for the last 4+ years.
Completely open source - I encourage you to tinker!
Run your latest social media post to see where attention dropped (or explore brain effort, gut reaction and 4 other neuro-dimensions).
The Product Hunt link is below
Thrilled to see this first launch from the Cassini Research collective hitting the top 10 (#9 right now! 🚀).
We set out to find answers to the question -'What does someone really feel when they read, listen or watch something?'
MindReader V1 is the result of deep research and countless hours collaborating with sales teams to solve real workflow bottlenecks. The best part? It’s already driving impact.
Huge shoutout to @DecisionTree_gg for building something users are clearly loving.
