mdwelsh
Joined 15 years ago
Joined 15 years ago
(Edit: For clarification, the NPM stats refer to the number of times the library was fetched from NPM's servers, not the number of times a developer incorporated it into a project. For popular NPM libraries, this number can be in the many millions of downloads per week. My confusion stems from the fact a library used by thousands of projects will have substantially higher numbers in NPM than what is seen here. It is of course possible that this number counts developers incorporating these icons not through the NPM library.)
I'm a co-founder at Fixie, a Seattle-based AI startup. We're launching an experiment to showcase what's possible with Fixie's real-time LLM-powered voice platform. You can check it out at https://hisanta.ai - you can have live voice chats with Santa, Mrs. Claus, Rudolph, and other friends (toggle the naughty/nice switch at the top for some other characters!)
We'd love to get your help testing this and get any feedback -- especially from people with kids :-)
All the code for this app is open source: https://github.com/fixie-ai/hisanta.ai
This is not just a thin wrapper around LLMs. To get the performance to this level, we've had to do a lot of engineering to wire together ASR, LLMs, and TTS models efficiently, and are doing some clever things to hide latency. Happy to answer any questions about the technology.
The Fixie platform (https://fixie.ai) powers the app and embeds the logic for managing voice sessions with LLM agents, which can be built either through a no-code UI or using our AI.JSX (https://ai-jsx.com) framework for building LLM apps. We support a range of ASR and TTS models under the hood as well.
We'd love your feedback! Drop me a line or join our Discord: https://discord.com/invite/tRMV7PW8f2
Thanks! Matt on behalf of the Fixie team
The main point of my article was the surprise around the extent of the VC network and the helpful interactions with them. Before going through this process, VC was a black box to me. Now, a lot less so.
A few folks below have pointed out that I must have had an extensive VC network to draw on. Not quite. I knew 3-4 VCs casually from having worked at a couple of other startups. None of them invested in us by the way. It certainly didn't hurt to get their advice. Now, of course, I have a rolodex full of dozens I could potentially call up at some point, which is useful. I can see how founders who have done it before likely find it a lot easier to get the ball (and the checks) rolling.
OctoML is changing how developers optimize and deploy machine learning models. We are the creators of Apache TVM, a popular open-source compiler that transforms ML models into highly-efficient binary code optimized for the specific hardware and model architecture. We are also building the Octomizer, a cloud service that enables developers to optimize and package their ML models through a modern web app as well as a rich API surface.
Series C, over $130M of funding, company is 100 people and growing to 200-250 next year.
ML Systems Engineer - https://jobs.ashbyhq.com/OctoML/c4728daa-c818-44e2-b56f-95af...
ML Training Systems Engineer - https://jobs.ashbyhq.com/OctoML/3fa67134-96f3-4bbe-9bc6-9e30...
Cloud Backend Engineer - https://jobs.ashbyhq.com/OctoML/4a84f36b-6c19-423a-98bf-e509...
Apache TVM Open Source Engineer - https://jobs.ashbyhq.com/OctoML/3137c2d9-af6d-4948-8111-362c...
Embedded Software Engineer - https://jobs.ashbyhq.com/OctoML/c263e74a-d74c-4940-8bbf-a65c...
Infrastructure Engineer - https://jobs.ashbyhq.com/OctoML/aa619a7e-fe22-427a-9b0f-67f0...
Associate Product Manager - https://jobs.ashbyhq.com/OctoML/02930712-15b5-42b4-b90b-539a...
Field Engineer - https://jobs.ashbyhq.com/OctoML/16ab7270-913b-4af2-bedc-3683...