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A website for collecting Chinese music lyrics, pinyin and translations

Hacker News

A website for collecting Chinese music lyrics, pinyin and translations

I’m a fan of Chinese music, and I know how tricky it can be to get the pronunciation right. That's why I made a website that I think could help us all out. It's called Lyrics with Pinyin. The idea is simple: help everyone enjoy singing Chinese songs by making the lyrics, pinyin, and translations easily accessible. Also the song list on the site gets updated every single day! You’ll find: - Daily updated list of Chinese songs. - Lyrics with pinyin for easier singing. - Translations in 30 different languages. And, if you have any favorite artists or songs you’re struggling with, just let me know in the comments. I’ll make sure to add them to the website. It’s a small project from one music lover to another. Check it out and see if it helps you with your singing. Any feedback or suggestions are more than welcome!

Visit product View on Hacker NewsJan 9, 2024

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

85%85% 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.

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

61%61% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

45%45% 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

23%23% 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

13%13% 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.

Correct prediction on native model

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