Dimensional

What it does

Dimensional is an iPadOS 26 AI-powered PDF reader with support for textbooks, research papers and notes. Summarize Pages, Ask Questions using AI, Generate Quizzes, and Annotate using Apple Pencil — all within one app. With iCloud sync and Apple Intelligence; Handwritten Notes, and Smart Tools for Study, Dimensional helps you retain and comprehend better. Whether you’re prepping for exams using textbooks or reviewing research, it turns passive reading into active learning. Learn More Today!

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  PDF.ai2023 · pdf.ai · ▲678

  Chat with any document

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  Terminology2017 · ▲126

  A comprehensive research tool for words

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  Elephant FolioApr 2026 · beroea.tech · ▲69

  The PDF Library that automatically organizes itself

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  EduEase2024 · ▲99

  Quizify any PDF or topic

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  AI Notebook AppNov 2025 · ▲16

  Summarize, Chat, Create-All in One Notebook

• AV
  A visual AI interface to understand papers/books/topicsOct 2025 · kerns.ai · ▲17

  I feel like LLMs can help me understand anything. However, after I get a summary, I can't dive in to parts that I find interesting; can't refer to original source easily and can't control context with chatbots. This is an attempt to solve for a complete knowledge consumption experience with AI . Please give me feedback!

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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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  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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