We Love PDF
Your Complete PDF Workspace, Free& 100% safe
What it does
WeLovePDF is an all-in-one PDF workspace that combines 49+ tools for everyday document tasks. Users can merge, split, compress, convert, edit, protect, unlock, watermark, organize, and extract content from PDFs without moving between multiple websites. The platform also includes OCR and AI-powered tools for document processing. Most features work directly in the browser, helping users keep control of their files while completing PDF tasks quickly and efficiently.
Does the same job
all alternatives →- PPPdfwithlove – PDF tools that run 100% locally (no uploads, no back end)Jan 2026 · pdfwithlove.netlify.app · ▲177
Most PDF web tools make millions by uploading documents that never needed to leave your computer. pdfwithlove does the opposite: 1. 100% local processing 2. No uploads, no backend, no tracking Features include merge/split/edit/compress PDFs, watermarks & signatures, and image/HTML/Office → PDF conversion.
WeLovePDF — Online PDF Tools,Free & SafeJul 2026 · welovepdf.best · ▲263 free PDF tools, 100% in your browser. 100% Safe
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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 ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, June 2026
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Today, I’m proud to announce Homebrew 6.0.0. The most significant changes since 5.1.0 are a new tap trust security mechanism, the new faster, smaller, default internal Homebrew JSON API, sandboxing on Linux, better defaults informed by our user survey, many brew bundle improvements, improved performance and initial support for macOS 27 (Golden Gate). Happy to discuss any questions here!
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