AnkiPlus
Turn your PDF into Anki cards you can actually review
What it does
Turn textbook, lecture-note, and research-paper PDFs into review cards you can import into Anki. Choose pages and card style, confirm the page count and cost first, and let generation continue after you leave.
Upload a textbook, handout, or paper. Each page is read and organized into a card package you can import directly into Anki. Choose your material and describe how you want to review it. The rest is handled for you. Upload a PDF from your phone or computer, or choose one you saved earlier. Text and images are combined into clear cards that follow your instructions. Download the completed card package, import it into Anki, and begin reviewing. Check the supported material, output, cost, and task behavior before you begin. Textbooks, lecture notes, research papers, exam material, and reference documents can all work well, especially when their text is searchable and selectable. Clear structure…from 120365.org
Does the same job
all alternatives →- IMI made Ankify that converts notes to Anki cards2022 · ankify.krxiang.com · ▲180
Backstory: I was in medical school and had to study a ton of materials in short period of time. I came across Anki but always had trouble with making cards. In my mind, making cards should be quick, seconds instead of minutes. My other problem is after making the cards, each card does not really relate to the other. When you study the individual card, your thought process is very random and not cohesive. I wanted to be able to still reference to my notes for big concepts and then use the cards to memorize the details but also for long term retention. Ankify came out of that. At the time, I…
- AAAnki alternative with integrated notes and import/export2021 · get21stnight.com · ▲123
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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.
AI · 16d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
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 · 26d ago · cactuscompute.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
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.
AI · 16d ago · simedw.com