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
FL score
out of 100
Verdict
high confidence
Competition
No competitor data yet
Trend
No signal yet
Smart glasses that let users silently communicate with computers by decoding subvocalized speech.
The pain
The gap
Build angle
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
Fly Labs Method
Is the pain real, is there a gap, is it the right time, can one person build it.
- Problem clarity
- 80
- Solution gap
- 70
- Willingness to pay
- 75
- Buildability
- 75
The pain of needing silent, discreet communication with computers is clear, the solution is novel but technically challenging, users seem willing to pay for privacy and convenience, and the founders have a plausible path to build the product.
Value Equation
Dream outcome and how likely it feels, against the time and effort it costs.
The idea addresses a real user pain with a differentiated solution, but market adoption and technical reliability remain uncertain, limiting immediate scale potential.
One-Person Business
Curiosity pull, identity fit, and a path from free value to paid for a solo creator.
The concept is innovative and fits a niche need, though the technology complexity and user learning curve may slow growth and adoption.
Viral Frameworks
Hook strength, shareability, and how cheaply it can be tested.
The product solves a unique problem with a defensible technical approach, but requires significant R&D and user habituation to reach product-market fit.
Builder Lens
Evidence the problem exists, timing, defensibility, and a model that fits on a napkin.
The founders show strong technical ability and insight into a real problem, with a working prototype and early validation, fitting YC’s preference for hard tech with clear user value.
Five lenses, one composite. How scoring works
The angle
No market research recorded for this idea yet.
Semble – Code search for agents that uses 98% fewer tokens than grep
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