
AiBotick Solutions
Engage, Automate, Convert.
What it does
AiBotick is a complete WhatsApp automation platform built for businesses that want to scale communication, customer support, and sales using official WhatsApp APIs. With AiBotick, businesses can: • Send bulk WhatsApp broadcasts • Build no-code chatbots • Manage multi-agent live chat • Automate lead routing • Integrate CRMs using APIs & webhooks • Collect payments directly on WhatsApp • Run WhatsApp-based e-commerce Built for fast-growing businesses that want powerful WhatsApp engagement.
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Herobot is an open-source customer service platform that lets businesses manage conversations across WhatsApp, Instagram, Facebook Messenger, and TikTok from a single dashboard. Key features: • 24/7 AI-powered responses using Gemini, OpenAI, or OpenRouter • Real WhatsApp Business integration with QR code pairing • Custom business tool integrations (shipping APIs, Google Forms, spreadsheets) • Self-hosted or managed cloud deployment options • Built with Laravel + Vue.js, Docker-ready GitHub: https://github.com/herobot-id/herobot Demo: Try in Firebase Studio (buttons…
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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
Dev tools · May 2026 · kilo.ai


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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…
Life & fun · May 2026 · github.com
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Dev tools · May 2026 · github.com