Qwen 3 TTS ported to Rust

Hacker News

I love pushing these coding platforms to their (my? our?) limits! This time I ported the new Qwen 3 TTS model to Rust using Candle: https://github.com/TrevorS/qwen3-tts-rs It took a few days to get the first intelligible audio, but eventually voice cloning and voice design were working as well. I was never able to get in context learning (ICL) to work, neither with the original Python code, or with this library. I've tested that CPU, CUDA, and Metal are all working. Check it out, peek at the code, let me know what you think! P.S. -- new (to me) Claude Code trick: when working on a TTS speech model, write a skill to run the output through speech to text to verify the results. :)

Visit product View on Hacker NewsJan 30, 2026

Share card

Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

96%96% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

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

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

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

23%23% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% predicted probability of success on Acquire.com, 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

Similar products

Rust BPE tokenizer for Qwen models that's 12x faster than HuggingFace66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Rust BPE tokenizer for Qwen models that's 12x faster than HuggingFace

Hacker News5

StatsD in Rust51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

StatsD in Rust

Hacker News1

TF-IDF in Rust51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

TF-IDF in Rust

Hacker News1

Rust FFI in a Wireshark C dissector51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Rust FFI in a Wireshark C dissector

Hacker News1

Rust-wasm-webpack50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Rust-wasm-webpack

Hacker News6

Risp – Lisp in Rust68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Risp – Lisp in Rust

Hacker News314

Classical Ciphers in Rust51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Classical Ciphers in Rust

Hacker News2

Screencast: An Introduction to Rust57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Screencast: An Introduction to Rust

Hacker News3

Handlebars for Rust51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Handlebars for Rust

Hacker News2

Oxischeme – A Scheme implementation in Rust56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Oxischeme – A Scheme implementation in Rust

Hacker News18

Browse all products Analyze your launch