Ma

Mandarin Communication Board

Hacker News

Mandarin Communication Board

Hi HN! Happy Lunar New Year! My son recently started showing interest in learning Mandarin thanks to some singing books sent by a friend of ours. I made this tool to help us expand our vocabulary and enable us to communicate about every day stuff. My favorite part as I dabble in Mandarin is that there is no verb conjugation! Grammar tends to be fairly simple, too, which means that you can start saying intelligible sentences quickly by picking up common words. The toughest part so far is hearing and producing words with the right tones. To my untrained American ears, I often can't tell the difference between words that differ only in their tone. It's been helpful to see the words written in pinyin and spoken aloud using this communication board. I shared some technical details here: https://memalign.github.io/p/mandarin.html

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Actual performance

1points
1comments
Did not reach leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
64%64% 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 · Missing: mobile apps, ios, personal
50%50% 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
44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new, using · Missing: mac, agents, macos
42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: started · Missing: supports, reddit linkedin, podcasting
38%38% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% 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
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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