Stars and mentions
Last 30 days, Oct 5 – Nov 3
Package downloads
Top repositories
tlack’s repositories ranked by pull request authors, as on trending.
Contributes to
Repositories outside tlack’s account where tlack opened or reviewed pull requests in the past 365 days.
Who noticed tlack
Everyone who starred or forked tlack’s repositories since the archive began in 2011.
Notable accounts
Ordered by the stars their own repositories have received.
Biggest fans
Accounts that starred the most of these repositories.
Breakout weeks
Each repository’s best week of new stars, with the release published around it.
Achievements
Awards earned by the repositories tlack owns. Select an award to embed its badge.
- Gold
- 01st place finishes
- Silver
- 12nd place finishes
- Bronze
- 03rd place finishes
- Awarded repositories
- 1Owned by tlack now
Repositories
Ordered by gold, then silver, then bronze.
- snaphaxBest: 2nd by forks, 212 forks010
Every award
Top-three finishes of these repositories in completed trending days and weeks, newest first.
A repository earns an award for finishing first, second or third in a completed trending day or week, ranked by new stars, new forks or pull request authors. Awards follow a repository through renames and transfers and count toward its current owner. Weeks run Monday to Sunday, UTC.
Mentions
ESP32 上离线跑转写和合成，只用 84.5KB 内存 语音模型留在 flash 里按需读，不整块拷进 RAM，转写和合成轮流用同一块内存。MicroPython、C、AtomVM 都能调。 tlack/babytalk t.co
Home voice devices should handle basic commands when the internet drops. BabyTalk runs English speech recognition and synthesis offline on ESP32-S3/P4. Its reported noise tests are a reminder to test beside a running fan, not just at a quiet desk. tlack/babytalk
Show HN: Babytalk: Offline speech to text and text to speech on ESP32 Discussion
Show HN: Babytalk: Offline speech to text and text to speech on ESP32 comments · posted on 2026.10.09 at 17:33:56 (c=1, p=4)
Show HN: Babytalk: Offline speech to text and text to speech on ESP32 I have been playing with a lot of $20 devices with no keyboards or screens. I wanted to use speech to interact with them, but without it having to run through a cloud service or use a fixed command vocabulary. I worked with Claude to implement high performance 4bit int kernels for the ESP32S3 and P4 and quantize some larger STT and TTS models. Surprisingly, it's quite usable on these tiny boards. Also includes a finetuned model that can better cope with my diesel drones, hacking coughs, and mumbling. Works with Micropython (RAM scarcity issues) and AtomVM (better).