
The Recall Review
Take notes but seldomly review them? Try Recall
What it does
Recall is a tool that helps you review content stored in your knowledge base. It uses a scientifically backed technique known as Spaced Repetition to resurface your saved content at optimal intervals, enhancing your long-term retention of information.
Does a similar job
all alternatives →- ATA tool to help you remember shit you are interested in2022 · recall-app.com · ▲493
I've been working on Recall for a while now, it had some initial traction in the beginning which has since died down now. I am facing the inevitable question of whether to continue with the project. I just put out a new release and it would be helpful to get advice from the community on what they think of the idea and my implementation.




- BABuild a personal knowledge graph from the content you consume online2023 · recall.wiki · ▲79
I've been working on this tool that lets you build a personal knowledge graph from articles, blog posts, podcasts, YouTube videos, and other content you find interesting online. You can safely forget everything and trust that Recall will resurface it when something new that is related comes up. Looking forward to your thoughts and feedback on how it could be improved! The original version of Recall was posted last year nov on HN: https://news.ycombinator.com/item?id=33425947 Since then I have pivoted to a browser extension.
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Source: Product Hunt launch ↗
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Dev tools · 2023 · lottielab.com
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Outlines is a Python library that focuses on text generation with large language models. Brandon and I are not LLM experts and started the project a few months ago because we wanted to understand better how the generation process works. Our original background is probabilistic, relational and symbolic programming. Recently we came up with a fast way to generate text that matches a regex (https://blog.normalcomputing.ai/posts/2023-07-27-regex-guide...). The basic idea is simple: regular expressions have an equivalent Deterministic-Finite Automaton (DFA) representation. We…
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