ilyakaminsky

12 ms·

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by ilyakaminsky 10mo ago
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] https:/&#x
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by ilyakaminsky 1y ago
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
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by ilyakaminsky 1y ago
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.
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by ilyakaminsky 1y ago
> 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 inspirat
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by ilyakaminsky 1y ago
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 developer, I really enj
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by ilyakaminsky 1y ago
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...
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by ilyakaminsky 1y ago
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 along the way. For i
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by ilyakaminsky 1y ago
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 transcribed in its original
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by ilyakaminsky 1y ago
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 activ
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by ilyakaminsky 1y ago
Not yet. The gains in efficiency come from optimizing the speedup factor. Real-time audio cannot be processed any faster than 1× by definition.
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by ilyakaminsky 1y ago
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., audio cl
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by ilyakaminsky 1y ago
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
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Show HN: I built Speech is Cheap for fast, long-form audio transcription(speechischeap.com)
1 points by ilyakaminsky 1y ago|0 comments