Re

ReadPlusOne – Spanish stories built around the words you're learning

Hacker News

ReadPlusOne – Spanish stories built around the words you're learning

Hey HN, Over the past 6 months, I've been working on a Spanish language learning app that generates stories for you with your target words. For the last 2, I've been reading with it most mornings and it's really helped me grow my vocab. It generates short stories built around your target words you are learning, and uses vocabulary you already know for the majority of the story (around 95%). As you read along you click any word you don't know and it puts them into a spaced repetition system (SRS) to appear in future generated stories. It does need an account to work. I have a short on-boarding quiz to estimate your level, after that you are able to generate and read stories. I built it because I was having issues finding graded readers that were at my exact level, a B1 graded book can vary greatly on vocabulary used. I also wanted a system to help me learn words that I kept forgetting. I tried Anki for that, but the flashcard system just wasn't for me, but this system has been working much better. For this project I used natural language processing to handle all the recorded words of the user. Nouns and adjectives collapse to their lemma (root of the word), so libro and libros are one record. But with verbs we don't, so each tense and mood is tracked on its own. The SRS picks whichever of these are due, and to simplify it, they are passed into the prompt. Then a separate validator measures the draft's vocabulary against your recorded vocabulary of the user, and if too much falls outside it, the draft is rejected and it tries again. It's Spanish only right now, and it works best from around A2 up, once you get below that level it becomes hard to generate interesting stories to engage the reader. I plan to add other languages in the future, once I feel that the Spanish system feels fully complete. Happy to answer any questions about the project!

Share card

Actual performance

5points
7comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting
94%94% 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 · Strong signals: user · Missing: mac, agents, macos
54%54% 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: ide, io · Missing: https docs, excited, just released
49%49% 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 · Strong signals: month, para · Missing: mobile apps, ios, personal
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: plus · Missing: platform, intuitive, reviews
40%40% 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
15%15% 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

ConjuGato
ConjuGato27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

App for learning Spanish verb conjugations

Indie Hackers3education
Parrot
Parrot41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tiktok for learning spanish

Product Hunt+273Education
Gr
Grammarly for Spanish48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Grammarly for Spanish

Hacker News1
Sp
Spanish Basic44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Spanish Basic

Hacker News44
Q&
Q&A WebApp (Spanish)49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Q&A WebApp (Spanish)

Hacker News1
LorcaEditor
LorcaEditor22%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Grammarly for Spanish

Indie Hackerscommitment-side-project
Wi
Wikipedia2Vec – A tool for learning embeddings of words and entities64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Wikipedia2Vec – A tool for learning embeddings of words and entities

Hacker News105
Academia No Lineal
Academia No Lineal22%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

e-learning for creatives, in spanish.

Indie Hackerscommitment-full-time
I
I built an app to find words in Letterpress41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I built an app to find words in Letterpress

Hacker News18
Palteca
Palteca56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

All-new Spanish learning app that bans translations

Product Hunt+142Android