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Paul Richards

Active Recall - Summarize anything, forget nothing

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You'll likely forget 90% of the content you consume within a week. Recall summarizes online content, connects it in a knowledge graph and resurfaces it on a schedule tailored to your learning curve, helping you remember the information you care about.

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MR Tom
congratulation. very nice!
Daniel Wang
looks good👍🏻! Let's try it
Paul Richards
Maker
@daniel_wang_wang Thank you. Let us know how it goes!
Cihat Imamoglu
@paul_richards1 Looks super useful!! For me, the critical missing piece is readwise integration.
Paul Richards
Maker
@cihat_imamoglu1 thank you! We already have a feature request for it so it will be scheduled for sometime later this year.
YC J
Does this need access to all my browsing data?
Paul Richards
Maker
@yc_j when you open the browser extension on a specific page, it will parse the content of that page.
YC J
@paul_richards1 ah! That make so much more sense. Next step gotta be Vision Pro like integration so all the paper materials can turn into knowledge graph too
Jory Shi

This sounds like a game - changer for learning! How can I try it?

Tushar Warrier
Congrats on the launch @paul_richards1! Recall looks very exciting and could certainly change the way I schedule and absorb+retain content from all the podcasts I'm always tuned into. Especially like the knowledge graph feature and categories connecting to each other! Looking forward to trying this! Does it currently work exclusively via browser extensions or does it also connect streams and data from handheld devices such as the iPhone or iPad?
Paul Richards
Maker
@genesys thank you. Yes, we have mobile apps (although they are in beta) - but you can use the mobile "share" option to share content with your Recall on mobile.
Micha(el) Bladowski
idea: good api: no (as usual, so no chance to switch from another product) tagging: bad, as most of these kinds of service about tagging: I don´t get it. the whole product is about using a LLM to understand the context and create summaries, but "tagging" is terrible. here's an example: https://www.city23.at - what tags do I get? only one: "city23" - wow. so the LLM is unable to understand that this a digital online radio station ? NO! if you ask chat-gpt for meaningful tags, you will get: **Keywords:** 1. Digital Radio 2. Music Stream 3. DAB+ Broadcasting 4. Mobile App 5. Vienna Radio so why is "tagging" always that bad with these products ? you can argue: no need for tagging because the summary has enough content to search for. but in that case I have to say: then remove tagging! either you tag stuff meaningful or you don´t tag anything. bad tagging is the same as not using it all. usability: - CTRL+K is not working when a card is opened - ESC does not close the card - I can change the card without going into edit mode, thinks can get changed by accident without the user notices anything, opening a saved item always should be open in view mode, that´s a core principal - search: no AND/OR search - search: no search by tags (#tag) - search: no search by timeframe in general: why should I search for something that is NOT in my cards ? i search here because I want to know if it's in my storage, but instead I get tons of stuff from the internet, WHY ? ;) that makes no sense. i create my own knowledge base to search in there. if I search for something that is not in my cards I want to know that and don´t want to see "something" from the internet and filter with the help of a little dot that indicates, if the item is in my storage or not. if I want to search the net, I will use my preferred search engine, they can do this better as you, so please don´t play google here, makes no sense and so the whole search is very distracting and irritating. a product like this is only as good as the search. "saving" is only 50%. if you cannot find something here with a very detailed and super fine search, it´s useless.
Igor Gligorevic
Maker
@michael_bladowski Thank you for your detailed feedback, Michael! We appreciate your insights and are continuously working to improve our Recall. Regarding the API, we haven't had many requests from users for it. We do offer an export to Markdown feature. Import functionality is on our backlog, and for now, users can paste Markdown directly into the editor. For tagging, we don't use an LLM. Instead, we rely on schema.org datatypes. For example, we create the tag "city23," which is nested under the tag "website," so anything saved from https://www.city23.at/ will be tagged with "city23" for easier rediscovery. We found that this was the most logical way to categorize information while also giving the user the option to define their own tags. The primary goal of our product is to resurface content when it is most relevant, based on connections, rather than forcing users to search for it actively. You can also treat the entities that are extracted as a mean for categorizing your content. For instance, if a persons name is extracted as an entity, you can pin the "person" into the side menu - that way you can always easily access all your cards that mention that person. The idea here is that your content is organically categorized based on what it mentions. Thanks again for your feedback. If you have any other suggestions or questions, please let us know. 😊
Micha(el) Bladowski
@igor_gligorevic website tags are SEO based, but tags in a knowledge base are human-based. even a child knows that difference. a tool that uses AI but don't uses it for the most simple things - man, that's so damn absurd - LOL ;-))) anyway... good luck with that.....
Golap Sen
Active recall is a game-changer for anyone looking to enhance their learning efficiency. Whether you're a student, professional, or lifelong learner, integrating active recall into your study routine can lead to remarkable results.
Paul Richards
Maker
@golap_sen thank you Golap! Appreciate it.
Aryan Sharma
Unique and amazing idea Team! I would be definitely using it if it is free.
Herilaza Andria
congrats on the launch! in your knowledge graph, highlighting key info and downplaying the trivial stuff would be super helpful. do you have plans to add features for emphasizing important points while minimizing less relevant details?
Paul Richards
Maker
@herilaza_andria thank you. Yes, that is the idea. The more something is mentioned, the more important it is considered and the more connected it will be in the knowledge graph.
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