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Maker
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Hey ProductHunt — Sushanth here, solo developer running a portfolio of mobile apps.
I built ScribeAI because I kept watching students (and honestly, adults too) sit with a 90-minute lecture recording or a 60-page PDF and have no good path from "raw content" to "actually ready to be tested on this." Highlighters and re-reading are famously ineffective, but most tools either stop at transcription or only handle one type of input.
The thing I'm most proud of technically is the unified pipeline: a YouTube video, a scanned textbook photo, a recorded phone call, a podcast RSS feed — they all hit the same processing flow and come out as the same structured outputs (notes, quizzes, flashcards, or an AI-narrated audio summary). Getting that to feel seamless across wildly different input formats without asking users to think about "which mode am I in" was genuinely hard.
The anonymous-first decision was deliberate. Account walls at the top of a funnel are friction that costs real people real value. We let you go all the way through — paste a link, get your flashcards, study them — before we ask anything from you. That approach is a big part of why the app has grown entirely through word of mouth.
The AI podcast output is the feature that surprises people most. You throw in a dense research paper and you get a conversational audio summary you can listen to during a commute. It's become weirdly useful for things I didn't originally design for — like busy professionals catching up on reports.
Happy to talk about any of it: the multi-source design, the output formats, what I'd build next, anything. Ask away.