EveryWord: Smarter vocab practice
Capture real-world words and retain them
What it does
Stop wasting time on words you already know! Our app builds a personal dictionary so you learn only what truly matters. Add or scan words from textbooks or notes — AI instantly turns them into flashcards with translation, pronunciation, and usage examples. Inspired by Anki’s brilliant but painfully manual system, we rethought everything and removed the routine with AI, leaving only what matters. EveryWord improves learning within any curriculum: school, university, or language courses.
Does a similar job
all alternatives →
Vocab Top – AI-powered vocabulary builder that helps you retain wordsAug 2026 · vocab.top · ▲18Master new languages with Vocab Top's AI-powered vocabulary builder. Features contextual translations, AI-generated visual mnemonics, word forms (conjugations & plurals), IPA pronunciation guides, and a personal word library for lasting retention.
More ai this month
the category →
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 · 18d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 19d 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 · 27d ago · cactuscompute.com
