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Show HN: Subvocal – Talk to your computer without making noise
Hi HN, we're Aarush and Arnav from The Subvocal Company (YC F26) (<a href="https://subvocal.company/">https://subvocal.company/</a>). We’re building smart glasses that let you talk to your computer without talking out loud. You can mouth words silently and discreetly and the glasses decode them to text at the speed of speech.<p>Here's a video of Dave from YC trying it out: <a href="https://www.youtube.com/watch?v=9QdX1eObVYI" rel="nofollow">https://www.youtube.com/watch?v=9QdX1eObVYI</a><p>(Edit: you don't actually have to move your lips or even open your mouth for this to work! Since the RF can see inside your mouth the system can be fine tuned on "internal speech". This isn't the automatic tongue movements that occur when "thinking" words to yourself, but more like mouthing with your lips closed. It's a bit weird to do, but with practice, we have been able to get it down pretty well.)<p>Arnav and I were studying CS at Georgia Tech at the beginning of the year, with no experience in silent speech or sensing. We were both AI-native builders and power users of Wispr Flow. What bugged us was not being able to use these tools in the library (or an office) or in public. At Stanford’s TreeHacks in February, we decided to build the most technically ridiculous thing we could think of. We’d read about AlterEgo, a silent speech system out of MIT’s Media Lab, and wanted to recreate it in 36 hours. We built a crude prototype, sticking EMG electrodes onto my face:<p><a href="https://drive.google.com/file/d/1mwhv5HZMz3UTevdrgwS5O7g2jWV0K9r2/view?usp=sharing" rel="nofollow">https://drive.google.com/file/d/1mwhv5HZMz3UTevdrgwS5O7g2jWV...</a><p>We got it to kind of work at a letter level in a very janky way. It wasn’t good enough to win the hackathon, but convinced us to go all in. The first time I typed a sentence without anyone noticing, I felt the magic of the technology.<p>We quickly realized EMG (reading muscle electrical signals) wouldn’t work:<p>- Signal changes due to sweat<p>- Electrical interference<p>- Placement variability<p>- Most importantly, no one wants to stick electrodes onto their face!!<p>So we switched to RF and built the glasses you see now. They emit radio waves, similar to Bluetooth, that pass through your face. As they cross the tongue, lips and soft palate, they’re modulated by silent mouthing. We train foundation models on this data to decode these perturbations to text.<p>Despite prior academic research, getting this to work was a huge engineering challenge. First we built an extremely low noise RF sensing stack. Then we had to place antennas so their fields overlapped maximally with the articulators. Our first attempt on glasses failed completely, so we reverted to old habits and taped antennas on our face:<p><a href="https://drive.google.com/file/d/1ks0dS0eZiTV9EqSFsyB_w5BBjpcBAfX-/view?usp=sharing" rel="nofollow">https://drive.google.com/file/d/1ks0dS0eZiTV9EqSFsyB_w5BBjpc...</a><p>Since taping antennas consistently in the same spot and angle was hard, we created this weird but effective head rig to hold them in place:<p><a href="https://drive.google.com/file/d/1rhzNFpdDzr7oHk0isFY70dkoV4CAF1pT/view?usp=sharing" rel="nofollow">https://drive.google.com/file/d/1rhzNFpdDzr7oHk0isFY70dkoV4C...</a><p>This worked, but obviously wasn’t a product yet. So we worked deep in simulations to design glasses that could hold the antennas.<p>That evolved into our design now, with antennas embedded within the frames. Once we established there was a signal, the next hurdle was cross-user generalization. Everyone’s facial anatomy, and hence RF signal patterns, are vastly different. We tried algorithmic workarounds but realized the only lever was to massively scale pretraining data.<p>So that’s what we did. We set up booths in our office and paid people to read prompts wearing our glasses, to pretrain our models on. This produced a beautiful scaling curve, with errors falling quickly as we scaled our dataset and cross-user performance becoming genuinely compelling (as you see in the video above; Dave only had a short 20-sentence calibration).<p>We always heard about building things from first principles but never understood it before this. We tried tackling it top down but completely failed. Only when we broke each component (the antenna, electronics, ML) down to its fundamentals to understand and optimize it did we get it to work really well.<p>Over the next few months we’re continuing R&D to turn our prototype glasses into the slick product on our website and ship in Q1 2027. We’re also scaling up our dataset to improve performance on edge cases.<p>For anyone who loves voice dictation but hates using it around people, we’ve opened preorders for our first batch of 500 units, with a $200 discount off the final price. Allocation is running out quickly, so get yours at <a href="https://subvocal.co/preorder" rel="nofollow">https://subvocal.co/preorder</a>!
Show HN: Subvocal – Talk to your computer without making noise
Hi HN, we're Aarush and Arnav from The Subvocal Company (YC F26) (<a href="https://subvocal.company/">https://subvocal.company/</a>). We’re building smart glasses that let you talk to your computer without talking out loud. You can mouth words silently and discreetly and the glasses decode them to text at the speed of speech.<p>Here's a video of Dave from YC trying it out: <a href="https://www.youtube.com/watch?v=9QdX1eObVYI" rel="nofollow">https://www.youtube.com/watch?v=9QdX1eObVYI</a><p>(Edit: you don't actually have to move your lips or even open your mouth for this to work! Since the RF can see inside your mouth the system can be fine tuned on "internal speech". This isn't the automatic tongue movements that occur when "thinking" words to yourself, but more like mouthing with your lips closed. It's a bit weird to do, but with practice, we have been able to get it down pretty well.)<p>Arnav and I were studying CS at Georgia Tech at the beginning of the year, with no experience in silent speech or sensing. We were both AI-native builders and power users of Wispr Flow. What bugged us was not being able to use these tools in the library (or an office) or in public. At Stanford’s TreeHacks in February, we decided to build the most technically ridiculous thing we could think of. We’d read about AlterEgo, a silent speech system out of MIT’s Media Lab, and wanted to recreate it in 36 hours. We built a crude prototype, sticking EMG electrodes onto my face:<p><a href="https://drive.google.com/file/d/1mwhv5HZMz3UTevdrgwS5O7g2jWV0K9r2/view?usp=sharing" rel="nofollow">https://drive.google.com/file/d/1mwhv5HZMz3UTevdrgwS5O7g2jWV...</a><p>We got it to kind of work at a letter level in a very janky way. It wasn’t good enough to win the hackathon, but convinced us to go all in. The first time I typed a sentence without anyone noticing, I felt the magic of the technology.<p>We quickly realized EMG (reading muscle electrical signals) wouldn’t work:<p>- Signal changes due to sweat<p>- Electrical interference<p>- Placement variability<p>- Most importantly, no one wants to stick electrodes onto their face!!<p>So we switched to RF and built the glasses you see now. They emit radio waves, similar to Bluetooth, that pass through your face. As they cross the tongue, lips and soft palate, they’re modulated by silent mouthing. We train foundation models on this data to decode these perturbations to text.<p>Despite prior academic research, getting this to work was a huge engineering challenge. First we built an extremely low noise RF sensing stack. Then we had to place antennas so their fields overlapped maximally with the articulators. Our first attempt on glasses failed completely, so we reverted to old habits and taped antennas on our face:<p><a href="https://drive.google.com/file/d/1ks0dS0eZiTV9EqSFsyB_w5BBjpcBAfX-/view?usp=sharing" rel="nofollow">https://drive.google.com/file/d/1ks0dS0eZiTV9EqSFsyB_w5BBjpc...</a><p>Since taping antennas consistently in the same spot and angle was hard, we created this weird but effective head rig to hold them in place:<p><a href="https://drive.google.com/file/d/1rhzNFpdDzr7oHk0isFY70dkoV4CAF1pT/view?usp=sharing" rel="nofollow">https://drive.google.com/file/d/1rhzNFpdDzr7oHk0isFY70dkoV4C...</a><p>This worked, but obviously wasn’t a product yet. So we worked deep in simulations to design glasses that could hold the antennas.<p>That evolved into our design now, with antennas embedded within the frames. Once we established there was a signal, the next hurdle was cross-user generalization. Everyone’s facial anatomy, and hence RF signal patterns, are vastly different. We tried algorithmic workarounds but realized the only lever was to massively scale pretraining data.<p>So that’s what we did. We set up booths in our office and paid people to read prompts wearing our glasses, to pretrain our models on. This produced a beautiful scaling curve, with errors falling quickly as we scaled our dataset and cross-user performance becoming genuinely compelling (as you see in the video above; Dave only had a short 20-sentence calibration).<p>We always heard about building things from first principles but never understood it before this. We tried tackling it top down but completely failed. Only when we broke each component (the antenna, electronics, ML) down to its fundamentals to understand and optimize it did we get it to work really well.<p>Over the next few months we’re continuing R&D to turn our prototype glasses into the slick product on our website and ship in Q1 2027. We’re also scaling up our dataset to improve performance on edge cases.<p>For anyone who loves voice dictation but hates using it around people, we’ve opened preorders for our first batch of 500 units, with a $200 discount off the final price. Allocation is running out quickly, so get yours at <a href="https://subvocal.co/preorder" rel="nofollow">https://subvocal.co/preorder</a>!
Mathematics has changed. Let's act like it
Postgres 19 is late because so many more bugs are being found now
Ask HN: Which TV do you recommend for privacy?
I haven’t owned a TV in years and would like one that respects my privacy. Are there any TV’s which do this well? I am looking for something in the 60”to 80”range and would like a 4k display with at least 60hz display. I don’t mind paying a premium.<p>I have heard good things about Apple TV as a better alternative to most smart TV native apps. Would some TV’s pair better with this than others for privacy? I don’t want the TV doing anything other than being the display for Apple TV.<p>I am curious what success others have had.
WTF Ubuntu?
Astra can read and write weights to improve Qwen
Astra can read and write weights to improve Qwen
The AI cost of JavaScript frameworks
Jepsen: ParticleDB 1.1.4
<a href="https://github.com/jepsen-io/particledb" rel="nofollow">https://github.com/jepsen-io/particledb</a>
Lenovo's 'encrypted' fingerprint USB is just an unencrypted SD card in a case
Police chief unplugs cameras after Flock ignores contract cancellation
Patrick Stewart taught us what good men do with power
Memdoor: A team of 5 Qwen3.8-27B models beats Fable 5 on LiveCodeBench Hard
An Italian farmer found some unknown seeds in his attic and planted them
Restrooms along the Norwegian Scenic Routes
Show HN: HackerBooks – HackerTube, but for books mentioned on HN
Saw Karpathy's HackerTube and wanted the same thing for books. So I had Claude build one (Opus 5.5).<p>It's ~16.5k books that at least two different HN commenters brought up, from 2007 till now. Each book links back to the comments that mentioned it. Data is downloadable from the about page.<p>To be clear: Claude wrote almost all of it, including the data pipeline and the site. I mostly steered and made calls, bought the domain name, etc.<p>It counts mentions, so it's not perfect (praising a book and trashing it both count). If your favourite book is missing or matched to the wrong thing, tell me.
Show HN: HackerBooks – HackerTube, but for books mentioned on HN
Saw Karpathy's HackerTube and wanted the same thing for books. So I had Claude build one (Opus 5.5).<p>It's ~16.5k books that at least two different HN commenters brought up, from 2007 till now. Each book links back to the comments that mentioned it. Data is downloadable from the about page.<p>To be clear: Claude wrote almost all of it, including the data pipeline and the site. I mostly steered and made calls, bought the domain name, etc.<p>It counts mentions, so it's not perfect (praising a book and trashing it both count). If your favourite book is missing or matched to the wrong thing, tell me.
Breaking the open web won't stop the bad bots
Molly (Signal fork) has not been updated since 3 months and is vulnerable