AI agent for reading fast and learning new language
Transparent macOS desktop pet reads books and translates screens using OpenAI Realtime.

Voice-learning email drafts when Superhuman already does this.
Founders and executives overwhelmed by email volume
Superhuman · Shortwave · Missive
The current solutions? Superhuman and HEY. Sure they're pretty but the ai is just an after thought. And the tool that was supposed to help me just makes me, my own assistant.
So I went and built Dirac.
We're launching in 8 hours, https://www.producthunt.com/products/dirac-3?launch=dirac-4
Transparent macOS desktop pet reads books and translates screens using OpenAI Realtime.
Agent writes its own Python tools and saves rules to avoid repeating mistakes.
Everything you need to make an AI 'person' is packaged behind a single API key: create an agent, push messages to Telegram/email/voice, and even convert/render 3D assets — the docs and SDK snippets make the happy path extremely fast. What I want to see next are the hard details (phone provisioning, rate limits, delivery guarantees, privacy/compliance) because the UX and feature mashup are compelling, but execution will hinge on infra and policy work.
Voice AI for websites when Voiceflow, Vapi, and Bland AI already exist.
This repo bundles a complete local audio loop — client captures audio, backend transcribes with Parakeet, queries a quantized Mistral LLM via Ollama, then renders speech with Kokoro or Qwen3-TTS for cloning — and reports ~1s round-trip on an RTX5070. It’s a practical, take-it-home demo for running privacy-first voice agents, though it’s still a demo: requires specific tooling (Ollama, GPU headroom), has obvious TODOs (VAD, better warmup for cloning), and isn’t reinventing the architecture.
Waitlist-stage product linked via Twitter screenshot—no runnable demo, unclear execution, hype over substance.