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Chatroom with GPT-4 assistant for English learners

Hacker News

Chatroom with GPT-4 assistant for English learners

Problem: I think we all agree the best way to improve language production skills is to actively practice using the language. But for language learners, we often encounter the following 2 problems when trying to practice using the target language: Realistically we often cannot find enough opportunities to talk with native speakers. They may also refrain from correcting our mistakes out of politeness. Hiring a native language tutor is too expensive for everyday practice. We can practice with other language learners, however, their language skills are limited in the target language, so we won't improve much practising with them. Solution: Today, I would like to introduce an experimental web app that aims to solve this problem: https://pixrain.com It is an online chatroom with built-in language models, allowing language learners to message each other with natural expressions after learners simply describe what they would like to say. We would like to invite everyone to have a chat in our chatroom and give us feedback, no sign-up is required. (currently only works on a desktop browser). Our long-term goal is to make language learning much more natural, efficient and affordable.

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Indie HackersFits the IH revenue-focused audience · Strong signals: mistakes · Missing: supports, reddit linkedin, podcasting
81%81% 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: model, models, using · Missing: mac, agents, macos
76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal
57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: efficient · Missing: plus, platform, intuitive
49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · 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 · Strong signals: chat, introduce · Missing: web3, crypto, cryptocurrency
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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