Talk to ChatGPT to help you improve your foreign language skill

Hacker News

Leah is a Google Chrome extension that combines voice recognition, voice synthesis and ChatGPT to provide an environment where you can improve your foreign language skills. Features: * Prompt injection: Choose a prompt and whenever you start a conversation, Leah will inject the prompt. * Prefix injection: To reinforce certain prompt, you can inject a prefix such as "translate:" to every question. * Choose different languages to speak and listen to ChatGPT. Prompt Examples: * I want you to be a translator from English to Spanish as spoken in Spain. You should only translate, do not answer or comment on any of the content. My first sentence is “Hello, how are you?” * I want you to pretend to be a French native speaker who lives in Paris. Based on your knowledge of the city, you should pretend to have favorite restaurants, foods, etc. I will speak in English and you will reply in French until I ask you to stop. Keep your responses brief and the language simple, at the A2 CEFR level. To start, tell me a random fact about Paris. * Youtube demo: https://github.com/drorm/leah * Install from the Chrome store: https://chrome.google.com/webstore/detail/leah-language-educator-an/bolaopgaickihobdlddefmdffopigkmh * How to use: https://drorm.github.io/leah/ * Github repo: https://github.com/drorm/leah

Visit product View on Hacker NewsFeb 4, 2023

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

76%76% 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

64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: google · Missing: mobile apps, ios, personal

58%58% 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

42%42% predicted probability of success on AppSumo, 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

18%18% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

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

Correct prediction on native model

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