Zeph
Turn any webpage into Anki flashcards with one click
What it does
Add new features to your browser and personalize your browsing experienceI was looking for a simple way to turn web content into Anki flashcards and couldn't find anything that worked well — so I built Zeph. Highlight text on any webpage (or grab the whole page), and it generates ready-to-import cards via AI. Cards go straight into Anki via AnkiConnect. Free to use, just needs your own OpenAI API key.
Does the same job
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- AAAnki AI Utils2024 · github.com · ▲253
Hi hn, I am nearly at the end of medical school so it is time I publish and "advertise" my open source scripts/apps for anki! Here's the pitch: Anki AI Utils is a suite of AI-powered tools designed to automatically improve cards you find challenging. Whether you're studying medicine, languages, or any complex subject, these tools can: - Explain difficult concepts with clear, ChatGPT-generated explanations. - Illustrate key ideas using Dall-E or Stable Diffusion-generated images. - Create mnemonics tailored to your memory style, including support for the Major System. - Reformulate…
- 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…
- TNTurn native language audio into flashcards and shadowing practiceJun 2026 · lingochunk.com · ▲92
Here is a tool I built initially for myself to help with my German and Greek language studies. It started as a hack for creating Anki cards from native language audio. It extracts the words, finds their base forms (lemmas) and groups the examples by the lemma. At some point I realised that I have a transcription with word level timestamps that opens a lot of other opportunities. So I added a mode to click the first and last word in the transcript and it starts looping with the right gap and repeat count. Another feature I use a lot is selecting an audio fragment, sending a predefined prompt…
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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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Launched alongside, April 2026
the whole month →
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Thought the resources for GPU arch were lacking, so here we are
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Built a ~9M param LLM from scratch to understand how they actually work. Vanilla transformer, 60K synthetic conversations, ~130 lines of PyTorch. Trains in 5 min on a free Colab T4. The fish thinks the meaning of life is food. Fork it and swap the personality for your own character.
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Life & fun · Apr 2026 · sam-burns.com
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With social media and now AI, its important to keep the indie web alive. There are many people who write frequently. Blogosphere tries to highlight them by fetching the recent posts from personal blogs across many categories. There are two versions: Minimal (HN-inspired, fast, static): https://text.blogosphere.app/ Non-minimal: https://blogosphere.app/ If you don't find your blog (or your favorite ones), please add them. I will review and approve it.
AI · Apr 2026 · text.blogosphere.app