Never forget what you've learned
Save All uses quizzes, notifications, and emails to stop you forgetting what you've learned. Unlike other spaced repetition apps, we've (really) prioritised making Save All as simple as possible - minimalist design, no distractions, and minimal cognitive load placed on users. We achieve this simplicity by using machine learning (e.g. large language models like BERT, GPT) to reduce the number of decisions users have to make. You don't have to decide whether you remembered a card, we know whether you did. You don't have to decide how to be quizzed on your information, we'll decide for you.…
In plain words
Save All is a spaced repetition app that helps users retain information through quizzes, notifications, and emails. It uses machine learning to simplify the learning experience by automatically determining whether users remember material and selecting appropriate quiz formats, eliminating manual decision-making. The app features a minimalist design with minimal distractions, aimed at reducing cognitive load while building long-term retention of learned content.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Save All uses quizzes, notifications, and emails to stop you forgetting what you've learned. Unlike other spaced repetition apps, we've (really) prioritised making Save All as simple as possible - minimalist design, no distractions, and minimal cognitive load placed on users. We achieve this simplicity by using machine learning (e.g. large language models like BERT, GPT) to reduce the number of decisions users have to make. You don't have to decide whether you remembered a card, we know whether you did. You don't have to decide how to be quizzed on your information, we'll decide for you. We're VC funded & growing fast but would love to hear HN's critical feedback. Tell it to us how it is!
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 · 17d 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, May 2022
the whole month →
Peerlist▲1,052A professional network w/ robust work profiles at its core
Life & fun · 2022 · peerlist.io



- MA
Life & fun · 2022 · github.com
