VoxFlux
Browser-based live captions and AI translation for events
What it does
VoxFlux is a browser-based live captioning and AI translation platform built for real event workflows. Create live caption or translation sessions in minutes, connect professional audio feeds, and send outputs to audience screens, presenter confidence monitors, mobile viewers or production displays. Built for conferences, corporate events, hybrid productions, broadcasts and multilingual live events.
Does the same job
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- VAVoxos.ai – An Open-Source Desktop Voice Assistant2024 · gitlab.com · ▲123
Voxos is an open-source desktop voice assistant that aims to put Clippy to shame while supporting new desktop workflows powered by LLMs. Tired of copy and pasting ChatGPT responses between your web browser and IDE? Does your copilot not quite do what you need it to do? I invite you to give Voxos a try and maybe even become a contributor!
Real-time Voice Translation by Byrdhouse2024 · ▲233Translate your live events and meetings into any language
Voxtral TTS by Mistral AIMar 2026 · mistral.ai · ▲156Multilingual TTS model with realistic and expressive speech
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Parallel agents, diff reviewer, and multi-model comparisons
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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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Dev tools · May 2026 · github.com