Readit NewsWe're building AI voice agents for enterprise contact centers. We focus on remarkably human-like conversations, regulated environments and support for non-English markets (Dutch, German, French, etc.).
All our founders can code, but we're growing and getting busy quickly. So, we are looking for a (senior) Software Engineer: Go/TypeScript (Encore.dev/React). If you're strong in other languages, entrepreneurial and eager to learn, we'd still love to talk. Build core platform features, guardrails, integrations, and tools that help our AI agents handle millions of customer calls.
You'll thrive here if you:
- Want high ownership and direct customer impact
- Prefer building directly with users vs. in isolation
- Enjoy technical challenges at the intersection of AI/audio/enterprise
- Have the ambition to grow into a technical leadership role as the team grows
More information: https://www.stellarcs.ai/careers/software-engineer
EU work authorization is required. No visa sponsorship available.
Apply: e-mail is in my profile, please indicate HN in your e-mail.
We're building AI voice agents for enterprise contact centers. We focus on remarkably human-like conversations, regulated environments and support for non-English markets (Dutch, German, French, etc.).
1. Implementation Lead: Lead customer deployments from POC to production. Technical understanding required, coding skills not a requirement. You'll work directly with enterprise clients to integrate our AI agents into their existing contact center infrastructure.
2. Software Engineer: Go/TypeScript (Encore.dev/React). If you're strong in other languages, entrepreneurial and eager to learn, we'd still love to talk. Build core platform features, guardrails, integrations, and tools that help our AI agents handle millions of customer calls.
You'll thrive here if you:
- Want high ownership and direct customer impact
- Prefer building directly with users vs. in isolation
- Enjoy technical challenges at the intersection of AI/audio/enterprise
EU work authorization required. No visa sponsorship available.
Apply: e-mail is in my profile, please indicate HN in your e-mail.
Windmill OTOH supports a bunch of programming languages for steps (Go, Rust, Python, TS, etc.) and seems to have a much more “code first” approach. Reusable blocks are more like code templates compared to n8n.
Hard to say which is better. I really like the ability in windmill to just write code for each step and it comes across more powerful, but it feels less polished and intuitive when compared to n8n.
Reminds me of a story told by someone who was an intern or assistant for a politician (or consultant?) way back in the day before social media. They recount their first experience watching the politician at a town hall - they were late and apologetic, and gave a speech that was funny, compelling and authentic and the crowd ate it up.
They attended the next town hall, and the principal was late again, and proceeded to give the same speech, beat for beat. The same routine was repeated dozens more times at dozens of locations with different audiences, save for the politicians staff. In truth, the politician was not as funny or as sincere as the practiced speech and routine made them seem.
All this to say; acting funny or brilliant behind closed doors without cameras rolling doesn't mean you actually are those things. It's easy to recycle the same schtick after years of honing it and figuring out what works and what doesn't, Trump has impeccable showman instincts.
With Johnson I at least had the impression that he understood the showmanship aspect of it really well. Less so with Trump, at least it seems less polished.
Restaurant owners need to balance between overstaffing (and thus spending too much) and understaffing (and having service suffer). The optimal point is different if your opportunity cost is $2 vs $15 per hour.
Thus, in a US restaurant, on average, you’ll see more waiters than in most EU places, given the same amount of tables.
Not necessarily progress or benchmarks that as a broader picture you would look at (MMLU etc)
GPT-3 was an amazing step up from GPT-2, something scientists in the field really thought was 10-15 years out at least done in 2, instruct/RHLF for GPTs was a similar massive splash, making the second half of 2021 equally amazing.
However nothing since has really been that left field or unpredictable from then, and it's been almost 3 years since RHLF hit the field. We knew good image understanding as input, longer context, and improved prompting would improve results. The releases are common, but the progress feels like it has stalled for me.
What really has changed since Davinci-instruct or ChatGPT to you? When making an AI-using product, do you construct it differently? Are agents presently more than APIs talking to databases with private fields?
Image generation suddenly went from gimmick to useful now that prompt adherence is so much better (eagerly waiting for that to be in the API)
Coding performance continues to improve noticeably (for me). Claude 3.7 felt like a big step from 4o/3.5. Gemini 2.5 in a similar way.compared to just 6 months ago I can give bigger and more complex pieces of work to it and get relatively good output back. (Net acceleration)
Audio-2-audio seems like it will be a big step as well. I think this has much more potential than the STT-LLM-TTS architecture commonly used today (latency, quality)
Hey, I'm one of Stellar's founders. We're building voice AI for large contact centers.
Everyone thinks contact centers are boring. They're wrong. It's the last place where companies actually talk to their customers. We listen to calls every week and it's fascinating. AI here actually helps real people: shorter wait times, 24/7 support, lower cost.
Stellar skips the robotic text-to-speech pipeline entirely and works directly with voice. Our conversations are remarkably human, also in non-English languages and local dialects, where most AI sounds like a bad GPS navigator. On top of this, we're great at integrating with the complex systems at enterprises, and meeting their compliance requirements.
We're cash-flow positive, growing fast with enterprise clients queuing up, and all founders still code. We need engineers who can jump between our Go and TS backends and React frontend. This role is perfect if you:
* Want massive ownership at a small team (not pretend "impact" at BigCo)
* Actually enjoy solving hard problems (real-time audio at enterprise scale)
* Think making AI sound human in niche dialects is a fun challenge
Find the full vacancy here: https://www.stellarcs.ai/careers/software-engineer
EU work authorization is required. No visa sponsorship available.
Apply: e-mail is in my profile, please indicate HN in your e-mail.