Launch HN: Speko (YC S26) – OpenRouter for Voice AI
21–30 of 73 posts
Re: Launch HN: Speko (YC S26) – OpenRouter for Voice AI
#22Seems to be useless, the state of art for all categories is local on-device, voice model vendors are just rent seekers for those who know no better.
Linux on desktop is great for you, but this is a tool for people delivering solutions.
Re: Launch HN: Speko (YC S26) – OpenRouter for Voice AI
#23Re: Launch HN: Speko (YC S26) – OpenRouter for Voice AI
#24Seems to be useless, the state of art for all categories is local on-device, voice model vendors are just rent seekers for those who know no better.
You're not the customer. This is for people building products that support thousands of users. Linux on desktop is great for you, but this is a tool for people delivering solutions.
2) you know nothing about me
3) of course I am not! I do know better
Re: Launch HN: Speko (YC S26) – OpenRouter for Voice AI
#25Seems to be useless, the state of art for all categories is local on-device, voice model vendors are just rent seekers for those who know no better.
You're not the customer. This is for people building products that support thousands of users. Linux on desktop is great for you, but this is a tool for people delivering solutions.
That's their dream. Your dream. The AI dream. Many would say it's AI psychosis.
Re: Launch HN: Speko (YC S26) – OpenRouter for Voice AI
#26Re: Launch HN: Speko (YC S26) – OpenRouter for Voice AI
#27Re: Launch HN: Speko (YC S26) – OpenRouter for Voice AI
#28Which model best allows me to transcribe speech that uses a lot of domain-specific terms? For example, when I say "Claude Code", it often gets transcribed as "Cloud Code", and I have to go back and edit or do a second pass with a traditional LLM (which can introduce additional errors).
Re: Launch HN: Speko (YC S26) – OpenRouter for Voice AI
#29Which model best allows me to transcribe speech that uses a lot of domain-specific terms? For example, when I say "Claude Code", it often gets transcribed as "Cloud Code", and I have to go back and edit or do a second pass with a traditional LLM (which can introduce additional errors).
I was doing it for Veterinary (ambient recording -> SOAP notes) which has tons of complex domain-specific language AND it is critically important to get right.
“CPR” transcribing as “see pee are” just doesn’t cut it in that industry.