Practise pronounciation of foreign languages and get an accuracy score

Hacker News

In beginner mode, you can follow your guide to learn simple phrases. In intermediate mode, you converse freely with 3PO on travel topics (backed by chatgpt-4o-mini) Your speech will be assessed on accuracy to provide feedback so you can get better at it. https://3po.evergreen-labs.org 3PO's practice mode supports: Arabic (Egypt) ar-EG Arabic (Saudi Arabia) ar-SA Catalan ca-ES Chinese (Cantonese, Traditional) zh-HK Chinese (Mandarin, Simplified) zh-CN Chinese (Taiwanese Mandarin, Traditional) zh-TW Danish (Denmark) da-DK Dutch (Netherlands) nl-NL English (Australia) en-AU English (Canada) en-CA English (India) en-IN English (United Kingdom) en-GB English (United States) en-US Finnish (Finland) fi-FI French (Canada) fr-CA French (France) fr-FR German (Germany) de-DE Hindi (India) hi-IN Italian (Italy) it-IT Japanese (Japan) ja-JP Korean (Korea) ko-KR Malay (Malaysia) ms-MY Norwegian Bokmål (Norway) nb-NO Polish (Poland) pl-PL Portuguese (Brazil) pt-BR Portuguese (Portugal) pt-PT Russian (Russia) ru-RU Spanish (Mexico) es-MX Spanish (Spain) es-ES Swedish (Sweden) sv-SE Tamil (India) ta-IN Thai (Thailand) th-TH Vietnamese (Vietnam) vi-VN

Visit product View on Hacker NewsSep 27, 2024

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

82%82% 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.

TrustMRRLess likely to generate early MRR · Strong signals: way · 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

29%29% 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

29%29% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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

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.

Product HuntUnlikely to reach the leaderboard · Strong signals: chatgpt · Missing: mac, agents, macos

11%11% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Correct prediction on native model

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