Volt-X Bot
AI Telegram bot: weather, currency, gold, flights & more
What it does
Volt-X is a free AI-powered Telegram bot with real-time data. 🌤 Weather + rain % + UV index (GPS location supported) 💱 Live currency rates — USD, EUR, LBP, AED, SAR... 🥇 Gold & silver prices ₿ Crypto — BTC, ETH and more ✈️ Live flight tracking 🌍 Earthquake alerts 🤖 AI chat + image analysis 🎬 Download from YouTube & TikTok Supports Arabic & English. Start now 👇
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I got tired of checking different weather apps every time my surf group wanted to go out. This bot shares the current conditions whenever you message /conditions to the group!
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Hi HN! For the last few weeks I've been building an algotrading bot based on the Supertrend indicator. It's a trend-following bot that uses the Supertrend lines as support/resistances to enter long/short trades and it's currently running in simulated mode (not real money) on all Binance futures pairs. I've written a somewhat detailed write-up about the strategy here: https://ailef.tech/2021/05/20/im-building-a-cryptocurrency-trading-bot-that-you-can-follow-live-on-telegram/ The cool thing about the bot is that he reports everything on his Telegram…
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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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