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Third Eye World
A voice-first social network built from scratch for blind and low-vision users. Every post is a voice memo. Every action is a voice command.
What it is
What is it?
Third Eye World is a social platform built exclusively for blind and low-vision users. Posts are voice memos — no images, no text, no visual-first timelines. Navigation is voice-driven; interactions are deliberately simple: like and comment, nothing else. Accounts exist, but there is no follow graph, no ranking algorithm, and no vanity metrics.
How it works
How does it work?
The whole app is organised around voice. Users record a voice memo to post. The timeline is an audio stream — memos play one after another. To interact, the user speaks a simple command ("like", "comment", "next") or taps a single on-screen button that the screen reader announces clearly. Comments are themselves voice memos. Server-side, memos are stored as short audio files with machine-generated transcripts for search — never displayed visually by default.
The reason
Why we built it
Mainstream social media was designed for sighted browsing: visual feeds, thumb-scroll mechanics, endless follow graphs. For blind users, adapting that through a screen reader is exhausting and slow. We wanted a platform that starts from voice as the first-class input and output — one where a blind user is the default user, not an accommodation.
In practice
How is it used?
Create an account with your voice (TE guides the onboarding flow). Record a voice memo to post — up to two minutes. The timeline plays new memos from the community. Say "like" to like, "comment" to reply with your own short memo, or "next" to skip. There's no follow button and no algorithmic feed; everyone you follow in spirit is simply everyone on Third Eye World.
What’s next
What’s the future of it?
Third Eye World is in build. The roadmap: private beta with fifty blind testers in Nairobi, Lagos, and Dhaka; a voice transcription and search layer for memo discovery; accessibility certification (WCAG 2.2 AAA as a floor, then real-world field validation); moderation tooling that flags abusive audio without requiring visual review; and finally a global open beta paired with free onboarding training in every user's first language.
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