Nicheloom

Market intelligence for builders — see what's gaining traction before it's crowded.

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.

Other launches for this product

Same idea, different domain

Nobody's really built a vertical saas tool for Insurance yet.