Viewing profile — a6kme
a6kme
HN member- Joined
- Mon, Jul 01, 2019, 9:40 AM UTC
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About a6kme
Recent public activity
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Show HN: Dograh – voice agents that pick Recordings over TTS using LLM
TL;DR: Dograh is an open-source platform to build voice AI agents with drag-and-drop workflows. New in v1.20: Gemini 3.1 live support, Pre-recorded audio support for lower latency …
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Comment #47361471
Hello. The latency is a factor of the models you are picking up for reasoning. If you are colocating the models by self hosting on GPUs, the latency can be as low as 500 - 600 ms b…
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Comment #47353729
Thanks for the kind words @ajabish. We are more of a horizontal platform and can support a wide variety of use cases. We are serving large BPO call centres on our managed hosted se…
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Comment #47351697
Hello HN. I am Abhishek, one of the creators and maintainers of Dograh - github.com/dograh-hq/dograh Please feel free to ask any question you may have or give us feedbacks on how w…
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Comment #46285420
There is always a tradeoff between latency and reasoning. The bigger the model, the more stuff we can get it to do by better instruction following, but it comes at a cost of increa…
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Comment #46285403
Thank you for your kind words. Among many other useful and fun things, yes, the dream of having a Star Trek Voice Computer or the good HAL is not very far away. :)
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Comment #46285393
Hello. Thank you for trying out Dograh and being our 100th Github Star.:) 1. Having different voice personas selector like Vapi is in our pipeline. 2. The lag can be either because…
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Comment #46189900
Earlier I was using other platforms for production voice agents. One thing that became obvious was the cost: 60–70% of our total spend was the Vapi platform fee, and only 30-40% wa…
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Show HN: Dograh – an OSS Vapi alternative to quickly build and test voice agents
Hi HN, I have been building voice agents for sometime now. I was earlier automating parts of visa processing, and we needed real-time, multilingual voice calling. I assumed the har…
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Comment #41346308
You are probably not spending time yak shaving and over engineering which is time well spent in understanding the problem and building the business :)