Auralius Voice Agentic
Voice agents for enterprise real-time customer communication
What it does
Auralius is an enterprise-grade AI Voice Agent platform powered by a Blazil Rust Media Gateway. Build sub-50ms real-time conversational agents, smart LLM cost routers, and pgvector RAG knowledge bases.
Clear recordings of the target voice. Background noise is removed automatically. Traditional cloud telephony stutters with 800ms+ delay. Auralius decodes acoustic speech PCM audio frames directly in-memory, achieving an instantaneous 44ms response time that guarantees natural, zero-pause conversation. We provision a US or Canada number on an isolated, geo-restricted Twilio sub-account and wire it up automatically. Use your own Twilio account so calls bill to you and you keep telecom compliance. Connect your voice agents directly to live E.164 phone numbers via Twilio, custom SIP trunks, or browser WebRTC audio sockets. Answer incoming customer phone calls 24/7 with zero missing traffic.…from auralius.ai
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Scroll through all 43,252,003,274,489,856,000 reachable Rubik's Cube permutations.
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Hi HN, I built Eigendrum, a web tool that solves the 2D wave equation for arbitrary shapes so you can hear what they sound like as drums. How it works: * Solves -∇²u = λu using finite element analysis (Kφ = λMφ) on a triangle mesh. * Validated to <0.1% error against closed-form solutions for circles (Bessel zeros) and rectangles. * Sound model factors in strike location, Rayleigh damping, and mallet width. * Includes Kac drums I & II to demonstrate identical sound spectra from different geometries. * No frameworks, build steps, or dependencies. Repo and tests:…
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Launched alongside, August 2026
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Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com