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Neuro
Dyslexia Friendly Reader
Neuro is a comprehensive cognitive reading companion for dyslexia, ADHD, and visual differences. Built as an Apple Swift Student Challenge project (2026 winner), it combines customizable text transformation, high-accuracy camera OCR scanning, and 8 gamified training exercises. It features Lexi, a private AI reading coach. Neuro operates with a 100% private, on-device philosophy—no accounts, no trackers, and all computations (including AI & OCR) run entirely locally.
Top comment
Neuro started as my Apple Swift Student Challenge 2026 (SSC26) project. My goal was to explore how on-device artificial intelligence could be leveraged to solve cognitive accessibility challenges for readers with dyslexia and ADHD. By implementing Apple's native on-device FoundationModels, I created "Lexi"—a built-in AI coach that provides vocabulary support and dyslexia-friendly reading tips completely offline. Because the model runs locally on the neural engine, user conversations and scanned documents never leave the device, ensuring complete privacy. Alongside the AI coach, Neuro integrates: • On-device Vision OCR to scan and digitize paper books. • A customizable reader engine supporting OpenDyslexic typography, color filters, and dynamic layout scaling. • 8 interactive learning games targeting word decoding and phonological awareness. I'd love to get the community's feedback on the app, the UX, and the on-device AI integration.
About Neuro on Product Hunt
“Dyslexia Friendly Reader”
Neuro was submitted on Product Hunt and earned 11 upvotes and 5 comments, placing #69 on the daily leaderboard. Neuro is a comprehensive cognitive reading companion for dyslexia, ADHD, and visual differences. Built as an Apple Swift Student Challenge project (2026 winner), it combines customizable text transformation, high-accuracy camera OCR scanning, and 8 gamified training exercises. It features Lexi, a private AI reading coach. Neuro operates with a 100% private, on-device philosophy—no accounts, no trackers, and all computations (including AI & OCR) run entirely locally.
On the analytics side, Neuro competes within iOS, Education and Health — topics that collectively have 196.1k followers on Product Hunt. The dashboard above tracks how Neuro performed against the three products that launched closest to it on the same day.
Who hunted Neuro?
Neuro was hunted by Amey Kaulavkar. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Neuro including community comment highlights and product details, visit the product overview.