An

An adaptive Chinese reader. Only helps where you need it

Hacker News

An adaptive Chinese reader. Only helps where you need it

Hey folks! I made a free Chinese reading tool after trying to get through The Hunger Games almost drove me crazy. Any Chinese (or, I assume, Japanese) learner will tell you there's a frustrating uncanny valley where you're good enough to start pursuing "real" reading material, but there are just too many unknown characters to actually make it through. What I'm really working toward with this is something where you can upload an EPUB and it will give you a modified EPUB with exactly, and only, the language help that you need added as text annotations (called "rubies" typographically). Probably the world's most niche web app, but hey -- for those in this specific situation, it's a real struggle. I hacked it together pretty quickly, so if this gets any sizable load from HN I'm sure it will crash, but I would LOVE feedback from Chinese learners out there!

Visit product View on Hacker NewsNov 28, 2022

Actual performance

2points

1comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

88%88% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Adaptive Geocodes – Truncatable Geocodes27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Adaptive Geocodes – Truncatable Geocodes

Adaptive Placeholders30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Adaptive Placeholders

Lazybug53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Adaptive learning subtitles for Chinese TV

Indie Hackers1ai

Chinese naming traditions and name meanings76%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

chinese name generator

Indie Hackers1$100/moai

A brutalist HN reader60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A brutalist HN reader

I made a reader for HN with Angular48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a reader for HN with Angular

Economist Espresso Reader57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Economist Espresso Reader

RFC Reader57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

RFC Reader

A Reader for Programmers50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Reader for Programmers

Dirty Reader54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dirty Reader

Browse all products Analyze your launch