Learn words in a foreign language by typing

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I’m Brazilian and I made this tool for my brother to learn English. He’s also trying to learn the keyboard layout at the same time. So far he seems to be liking it and getting better. I manually built and open-sourced the dictionary on github, so anyone can contribute and add more languages. I’m doing that manually because I want to do that in the most easy and didactic way possible, with a very accurate translation and most used words. Ideally, in the next version, it will be using some sort of API or automated tool. I’m not sure how to make the dictionary work effectively because each description needs a very close translation (ideally as exact as possible). We’re not able to just copy words and descriptions because they won’t necessarily line up with the other language translations. We’re currently manually translating to be accurate, though ideally we can figure out a good way to scale this, if anyone has suggestions please let me know!

Visit product View on Hacker NewsAug 16, 2022

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Product HuntOn track for Day 1 leaderboard · Strong signals: using, open · Missing: mac, agents, macos

70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

58%58% predicted probability of success on Indie Hackers, 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

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 · Strong signals: way · Missing: mobile apps, ios, personal

38%38% 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

21%21% 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

18%18% 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.

Incorrect prediction on native model

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