Speak Chinese characters on the clipboard automatically while learning

Hacker News

I am learning Mandarin but found that I often want a free, offline, and fast way to hear the pronunciation of Chinese characters I don't know, regardless of what app I am in. • I was surprised this didn't yet exist on Linux so I created https://github.com/C-Loftus/Mandarin-Clipboard-Speaker • It uses the same free, offline Piper models as my audiobook generator which previously gained some popularity here: https://github.com/C-Loftus/QuickPiperAudiobook The solution at the moment is quite simple but I wanted to share in case it would help others or there are other cool Mandarin learning tools you know of!

Visit product View on Hacker NewsMay 25, 2025

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3points

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

71%71% 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.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

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

Hacker NewsStrong engagement from HN community · Strong signals: exist, pipe, io · Missing: https docs, excited, just released

51%51% 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 · Strong signals: way · Missing: mobile apps, ios, personal

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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.

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

10%10% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

Incorrect prediction on native model

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