AI ยท June 4, 2026

๐๐น๐ผ๐๐ฑ๐ถ๐ฎ ๐๐ต๐ฎ๐
Get ๐๐น๐ฎ๐๐ฑ๐ฒ ๐๐ on Mac for $๐ฒ.๐ต๐ต
What it does
Other AI apps charge $20/month using the same ๐๐น๐ฎ๐๐ฑ๐ฒ ๐บ๐ผ๐ฑ๐ฒ๐น๐. We charge $๐ฒ.๐ต๐ต. ๐ช๐ฒ๐ฏ ๐ฆ๐ฒ๐ฎ๐ฟ๐ฐ๐ต for real-time results. ๐๐ฒ๐ฒ๐ฝ ๐ฅ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต for multi-source answers. ๐๐ผ๐ฐ๐๐บ๐ฒ๐ป๐ ๐๐ป๐ฎ๐น๐๐๐ถ๐ for PDF, DOCX, TXT. ๐๐บ๐ฎ๐ด๐ฒ ๐จ๐ป๐ฑ๐ฒ๐ฟ๐๐๐ฎ๐ป๐ฑ๐ถ๐ป๐ด for any image and ๐ฆ๐บ๐ฎ๐ฟ๐ ๐๐ ๐๐ต๐ฎ๐ for anything you need. Same powerful AI. Half the price. Built natively for ๐ ๐๐. Not a browser wrapper. Download free today and see why smart Mac users are switching. ๐
Does the same job
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Whisper Snapper for MacDec 2025 ยท โฒ139Local transcripts with speaker labels, timestamps, + export


- AOAI Operator on Your Mac2025 ยท github.com ยท โฒ6
Hey HN, I built an AI-powered UI for macOS that automates tasks on both macOS and in browsers. I didnโt want to pay $200 for OpenAIโs operator, so I made my own using browser-use and macOS-use. It handles simple tasks like scraping data, filling out forms, and using macOS apps. It's not great at working with files yet, but Iโm planning to improve that with custom tools for the LLM. The goal is to create a desktop โpetโ that takes care of boring stuffโlike drafting documents and filling out forms. Check it out and let me know what you think!

More ai this month
the category โ
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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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 rangesโฆ
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hope you enjoy
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- IM
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