GrabChat

What it does

A production-ready Chrome extension built for AI power users who need to back up and export conversations across multiple AI platforms. Supported Platforms Works seamlessly with 10+ AI services including ChatGPT, Claude, Gemini, Copilot, Perplexity, X/Grok, DeepSeek, Qwen, Mistral, and Poe. Export Formats JSON – structured and lightweight (for saving context) Markdown – readable and universal PDF – professional and share-ready

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  AI Toolbox 3.0Jul 2026 · ai-toolbox.co · ▲360

  Search, organize and export every AI chat in one place

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  Chat Exporter for Google AI StudioApr 2026 · aistudio-chat-exporter.vercel.app · ▲16

  Export AI Studio chats to beautiful PDF, Markdown & JSON

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  Chat Exporter for ChatGPT, Gemini & moreJun 2026 · chromewebstore.google.com · ▲4

  ChatGPT, Gemini & AI Studio to PDF, MD, JSON (Privacy Focus)

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  AI Chat Exporter - Export ConversationsFeb 2026 · chromewebstore.google.com · ▲2

  One-click save chats: ChatGPT, Grok,..→ PDF, Markdown, JSON

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  AI Chat Exporter ProNov 2025 · chatexport.workpent.com · ▲3

  Save ChatGPT, Claude, Grok, DeepSeek & Gemini chats to files

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  AI Chat ExportDec 2025 · aichatexport.xyz · ▲2

  Export ChatGPT chats into clean PDFs, TXT, and Markdown

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  I trained a 125M model to autocomplete piano on-device▲598

  I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.

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  Astute▲585

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  Needle2: 14MB agentic LLM for phones, wearables, smart home and robots▲537

  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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