I use Gemini CLI on a daily basis. It used to crash often and I'd lose the chat history. I found this tool called ai-cli-log [1] and it does something similar out of the box. I don't run Gemini CLI without it. [1]…
How can I submit my service to your website? Is there a simpler way than creating a PR here? https://github.com/Klavis-AI/klavis/tree/main/mcp_servers
Shameless plug -- check out speechischeap.com I spent three months perfecting the speaker diarization pipeline and I think you'll be quite pleased with the results.
> i can run it on consumer hardware for vastly cheaper than the cloud Woah, that's really cool, CJ! I've been toying the with idea of standing up a cluster of older iPhones to run Apple's Speech framework. [1] The…
Hmm… That's a good point. I recall a few instances where I went too far to the detriment of production. Having a trusty testing and benchmarking suite thankfully helped with keeping things more stable. As a solo…
TIL, thanks! I asked Claude to generate a simulator [1] based on your comment. I think it came out well. [1] https://claude.ai/public/artifacts/1b921a50-897e-4d9e-8cfa-0...
Fast is also cheap. Especially in the world of cloud computing where you pay by the second. The only way I could create a profitable transcription service [1] that undercuts the rest was by optimizing every little thing…
Thanks for noticing. It took a lot of effort to optimize the pipeline every step of the way. VAD, inference server, hardware optimization, etc. But nothing that would compromise on quality. The audio is currently…
I wouldn't describe it as "unusable" so much as needing to understand its constraints and how to work around them. I built a business on top of Whisper [1] and one of the early key insights was to implement a good voice…
Not yet. The gains in efficiency come from optimizing the speedup factor. Real-time audio cannot be processed any faster than 1× by definition.
It's sustainable, but not enough to retire on at this point. > Just wondering if I cam build a retirement out of APIs :) I think it's possible, but you need to find a way to add value beyond the commodity itself (e.g.,…
I've already done that [1]. A fraction of the price, 24-hour limit per file, and speedup tricks like the OP's are welcome. :) [1] https://speechischeap.com
I use Gemini CLI on a daily basis. It used to crash often and I'd lose the chat history. I found this tool called ai-cli-log [1] and it does something similar out of the box. I don't run Gemini CLI without it. [1]…
How can I submit my service to your website? Is there a simpler way than creating a PR here? https://github.com/Klavis-AI/klavis/tree/main/mcp_servers
Shameless plug -- check out speechischeap.com I spent three months perfecting the speaker diarization pipeline and I think you'll be quite pleased with the results.
> i can run it on consumer hardware for vastly cheaper than the cloud Woah, that's really cool, CJ! I've been toying the with idea of standing up a cluster of older iPhones to run Apple's Speech framework. [1] The…
Hmm… That's a good point. I recall a few instances where I went too far to the detriment of production. Having a trusty testing and benchmarking suite thankfully helped with keeping things more stable. As a solo…
TIL, thanks! I asked Claude to generate a simulator [1] based on your comment. I think it came out well. [1] https://claude.ai/public/artifacts/1b921a50-897e-4d9e-8cfa-0...
Fast is also cheap. Especially in the world of cloud computing where you pay by the second. The only way I could create a profitable transcription service [1] that undercuts the rest was by optimizing every little thing…
Thanks for noticing. It took a lot of effort to optimize the pipeline every step of the way. VAD, inference server, hardware optimization, etc. But nothing that would compromise on quality. The audio is currently…
I wouldn't describe it as "unusable" so much as needing to understand its constraints and how to work around them. I built a business on top of Whisper [1] and one of the early key insights was to implement a good voice…
Not yet. The gains in efficiency come from optimizing the speedup factor. Real-time audio cannot be processed any faster than 1× by definition.
It's sustainable, but not enough to retire on at this point. > Just wondering if I cam build a retirement out of APIs :) I think it's possible, but you need to find a way to add value beyond the commodity itself (e.g.,…
I've already done that [1]. A fraction of the price, 24-hour limit per file, and speedup tricks like the OP's are welcome. :) [1] https://speechischeap.com