Eddocu
Single app to document
What it does
Ever wondered why humanity uses PDF in 2026. Big files, not editable, irreversible,... Macrasaft office, its ?? pricey? Enter Eddocu A new definition of what a document means. Edit anything on web, document your ideas with zero friction. Starting of with legacy formats, import pdf pptx docx, and edit everything precisely. Eddocu automaticaly detects common styles and design tokens, so you can create consistent looking presentations much easily. Exciting AI news coming up!
Does the same job
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In the age of information, documentation is your team's strategic asset. AkiraDocs turns that asset into a powerful, intelligent platform that grows with your organization. Transformative Capabilities: Automated content generation Instant multi-language support Data-driven SEO optimization Flexible integration Invest in documentation that delivers real value.
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Hi there, this post is introducing AutoDocument, a free and open-source document generating web app that connects spreadsheets, databases and user forms into documents such as Microsoft Word and PDFs. It's based on fantastic open sources libraries like https://github.com/elapouya/python-docx-template and headless LibreOffice. Mail Merge is a pain because it: - Only converts from Excel to Word - Uses special field objects in the Word document - Requires a Microsoft Office License - Has limited templating options AutoDocument is a free and easily installable web app that…
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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, March 2026
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Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
