Subvocal – Talk to your computer without making noise

Hi HN, we're Aarush and Arnav from The Subvocal Company (YC F26) (https://subvocal.company/). 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.Here's a video of Dave from YC trying it out: https://www.youtube.com/watch?v=9QdX1eObVYI(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.)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:https://drive.google.com/file/d/1mwhv5HZMz3UTevdrgwS5O7g2jWV...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.We quickly realized EMG (reading muscle electrical signals) wouldn’t work:- Signal changes due to sweat- Electrical interference- Placement variability- Most importantly, no one wants to stick electrodes onto their face!!So we switched to RF and bui

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FL score

75

out of 100

Verdict

VALIDATE

high confidence

Competition

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Trend

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Smart glasses that let users silently communicate with computers by decoding subvocalized speech.

The pain

People cannot discreetly interact with computers in quiet or public settings without disturbing others or exposing private thoughts.

The gap

Existing voice input requires audible speech, and current silent speech tech is either invasive or unreliable, leaving a gap for a comfortable, accurate, and discreet solution.

Build angle

Leverage RF sensing combined with AI decoding to create a wearable device that translates internal speech signals into text without requiring electrodes or visible mouth movements.

Strengths

  • Clear user pain in multiple environments like libraries and offices
  • Innovative use of RF sensing to overcome EMG limitations
  • Founders have technical expertise and early prototype validation
  • Potential for a new input modality with broad applications

Risks

  • Technical challenges in reliably decoding subvocal signals across users
  • User adoption hurdles due to learning curve and social acceptance
  • Hardware form factor and comfort constraints for daily wear
  • Uncertain market size and willingness to pay at scale

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