AI Feynman summaries + auto flashcards. Built for the chronically-saving, never-reading brain. Save anything, we do the remembering.
You save articles. You don't read them. The ones you read, you forget. Anti Noise does the work you'd never get around to.
Three steps. Two of them happen automatically while you do literally nothing.
URL, note, or screenshot via Share Extension — from Safari, Twitter, Photos, Notes. One tap and done.
GPT-4o writes a simple explanation, an analogy, knowledge gaps, a real example, and a deeper question. Always 5 parts.
3–15 SM-2 spaced-repetition cards per summary. Open the app — you only see what you're about to forget.
TL;DR optimizes for "didn't have to read it." Feynman optimizes for "understood it well enough to teach it." Two opposite goals.
The same algorithm that runs Anki — minus the chore of making cards. The AI picks them.
Pomodoro sessions, wall-clock accurate. Keeps running when your phone locks.
Captures live on-device (SwiftData). Optional sync mirrors across devices. Your data stays yours.
v1.0.1 includes AI. Sign in with Apple or email — start capturing instantly. Zero setup.
Bilingual from day one. Capture in either language. Summaries respect your content language.
Start free with 5 AI summaries/month. Upgrade when you want unlimited.
v1.0 is in App Review now. v1.0.1 (the "no API key" version) ships ~2–3 weeks after that. Subscribe below to get the App Store link the day it goes live.
v1.0 requires bringing your own OpenAI API key — friction I'm removing in v1.0.1. The waitlist is for the version where you just sign in and the app provides AI. Worth waiting two extra weeks for.
Not yet. iOS first. Mac Catalyst + browser extension are on the roadmap — but only after v1.0.1 has real users. Honest answer: subscribe and I'll tell you if the priority shifts.
Captures live on your device first (SwiftData). Optional Firebase sync mirrors across your iPhones/iPads. AI calls go through Anti Noise's backend — your captures aren't shared with anyone else, not used for training, never sold.
Normal "TL;DR" summaries optimize for skimming — you read less, remember less. The Feynman method (simple explanation, analogy, knowledge gap, example, open question) optimizes for understanding well enough to teach. Different goal, different outcome.
Not at launch. The Share Extension covers most capture use cases. If you have a large existing library and import would matter to you, reply to the launch email and I'll prioritize accordingly.
One email. The App Store link. No nonsense.
No spam. One email when v1.0.1 launches. Unsubscribe anytime.