Read while you listen to your Audiobooks
Details
- External ID
- 49858268
- Source
- HN
- Company
- —
- Product
- Read while you listen to your Audiobooks
- Website domain
- hushbook.app
- Launched
- Sept. 26, 2026
- Cohort
- —
- Upvotes
- 5
- Upvotes percentile
- 0.12998405103668262
- Tags
- —
- Fetched at
- Sept. 30, 2026, 5:01 p.m.
- Updated at
- Sept. 30, 2026, 5:01 p.m.
Description
I am a product manager, and in the last few months I got laid off, coupled with a disruptive job market. Due to this, I used to scroll short-form content a lot; I was a slave to it, and anything I picked to read had me going back to scrolling. This became a reading comprehension problem; my attention span was clearly in decline; I found that a lot of people were also not able to read without an assist like a physical book or an ebook, especially for readers with ADHD/Dyslexia - this problem was hard-hitting. So I built Hushbook- a read-along audiobook app that helps you read while you listen. It works with a tiny transcription engine that functions natively on-device and transcribes audiobooks in multiple languages. The app also has 20,000+ Audiobooks free to download. Last week, I also integrated the app to welcome ebooks and synchronize them with audiobooks. I see reading has taken a back seat due to a surge in short-form content; there is a need for a push to get going and start reading more books. Critical thinking has gone for a toss, and I want more people to start reading; this is a step forward.
Enrichment
- Theme
- media discovery and streaming tools
- Vertical
- Media & entertainment
- Function
- Vertical SaaS
- Audience
- B2C
- AI stance
- Not AI
- Project type
- Hobby / open-source project
- Normalized one-liner
- text sync for audiobook listeners
- Manually corrected
- False
Could you build this?
Partial Audio playback and web interfaces are simple, but on-device, offline, word-level audio-text alignment and Whisper-style transcription require native machine learning runtime optimization.
What it would actually take: The core challenge lies in running high-throughput, low-latency automatic speech recognition (ASR) locally on mobile devices using CoreML/Whisper.tflite, generating word-level timestamps (forced alignment via CTC or dynamic time warping), and indexing the audio-text pairs in an offline local database.
Discussion
3 comments analyzed.
Concerns raised: Reading while listening may misunderstand the reading experience
Feature requests: Seamless switching between reading and listening
Competitors
Other products that read as similar to this one — 155 launches clear the similarity bar, closest 8 shown.
Attention rank: #138 of 156 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 331 days after the earliest competitor.
- Maryanne: read or listen to ebook & PDF · ph · 2026-09-23 · 1 upvotes · similarity 0.53
- Early Reader · hn · 2026-04-14 · 5 upvotes · similarity 0.52
- I built time to read all the things I want to · hn · 2025-12-14 · 5 upvotes · similarity 0.51
- I built an iOS app that turns EPUBs into audiobooks · hn · 2026-02-24 · 6 upvotes · similarity 0.50
- dewarr · github · 2026-09-21 · 71 upvotes · similarity 0.49
- ListenDock · hn · 2026-03-30 · 6 upvotes · similarity 0.49
- SkrivSikkert · ph · 2026-09-09 · 1 upvotes · similarity 0.48
- BookVoice Kids — Turn Books Into Audio · ph · 2026-09-06 · 1 upvotes · similarity 0.45
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a vertical saas tool for Insurance yet.