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Rohan Paul reviews Subvocal's silent-speech-to-text glasses

2 reports2 story updatesUpdated Oct 31 01:58

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AI overview

On October 31, 2026, Rohan Paul published an evaluation of the silent lip-movement input glasses launched by Subvocal: the glasses use radar in the frame to pass through the face, and based on changes in reflected signals as each word is silently mouthed, AI decodes them into text at a speed exceeding 200 words per minute, while bystanders see at most slight mouth movements. The article also mentions that the product has opened pre-orders, and that the team previously raised $1.3 million in funding from YC and Afore Capital. Another report the same day stated that Subvocal received $1.3 million in funding from YC and Afore Capital; founder Aarush Yadav said the product requires no typing or speaking aloud, and pre-orders are open. Currently, public information focuses on product features, funding, and pre-order status, with no further usage feedback yet.

AI-generated from public reports

Latest development · Report

YC and Afore Capital Invest $1.3M in Silent Input Glasses Subvocal

Developments

2 confirmed developments

  1. Rohan Paul reviews Subvocal glasses' silent speech-to-text feature

    Source:Rohan Paul
  2. Subvocal raises $1.3 million from YC and Afore Capital

    Source:Ayi AI Notes

Reports and discussion timeline

Browse reports and discussion by time. Their evidence levels remain distinct.

Oct 31

  1. Ayi AI Notes

    YC and Afore Capital Invest $1.3M in Silent Input Glasses Subvocal

    Subvocal has raised $1.3M from YC and Afore Capital. Its glasses use contactless sensing to track the internal speech muscles of the face, decoding silently mouthed words into text at over 200 words per minute without sound. Founder Aarush Yadav says the product requires no typing or speaking aloud, and pre-orders are now open.

  2. Rohan Paul

    Subvocal launches glasses for silent mouthing input that can transcribe 200+ words per minute

    Subvocal has launched a pair of glasses that can convert silently mouthed words into text at a speed of over 200 words per minute. The principle is that radar passes from the frame through the face, and based on changes in the reflected signal as each word is silently mouthed, AI decodes it into text; at most, bystanders see only slight mouth movements. The product is now available for pre-order, and the team previously raised $1.3 million in funding from YC and Afore Capital.

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