WanderVox Launch
Your travel companion
What it does
More than a translator — a travel companion that knows the language AND the local. Voice + photo translation in 49 languages, cultural etiquette per destination, AI-curated hidden gems and street food, a dated trip wallet with booking reminders, menu allergen flags, conversation mode that auto-detects both speakers. Offline on Android. Live on Google Play, iOS shipping soon
WanderVox translates menus, signs, and voice in 49 languages. Trip planner, cultural tips, and local finds across 51 destinations.
For when you don't speak the language: point your camera at any menu or sign, or tap to talk with locals — in 49 languages across 51 destinations. Free to start. WanderVox is a travel companion app that combines real-time translation in 49 languages, camera-based text recognition, cultural guidance for 51 destinations, AI-curated local recommendations, and a dated trip planner. Voice Translation is instant speech-to-speech translation — tap, speak in your language, and hear the translation spoken aloud in theirs. Tap to record, get instant voice-to-voice translation. Have real conversations with locals, negotiate at markets, or ask for directions - all without language barriers. Smart…from wandervox.app
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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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Source: Product Hunt launch ↗
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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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