Feature Requests

I receive a lot of good stuff in my inbox, please make it easy to forward to an email address. So do it with a generic email like [email protected] others with an adress per user such as [email protected] ...

Would love to get AI summaries for Spotify podcasts When submitting via sharing in android this is what i get:

It would be great to be able to forward content rich emails to Recall and save the knowledge to the recall brain

I love that we can import/upload a PDF for ingestion. It would be amazing if we could also import ePub and mobi formats for books for ingestion as well.

I regularly purchase Audible books and having the ability to have RecallAI ingest them would be a great help.

it would be nice if this supported YouTube shorts. I learn a lot from shorts as well!

When I save a LinkedIn post, there is a lot of metadata (from JSON config I believe) that should not be saved as part of my recap. See for exemple https://app.getrecall.ai/item/c0ac765e-c4a9-4134-936b-c3850d20a583 . There is three sections in the recap and the first two are irrelevant for a human. Cut and pasting below: LinkedIn Configuration Data The provided text appears to be a collection of JSON data from LinkedIn, containing various configuration items and tracking information for different features and experiments. The data includes information about job posting, premium features, and user interface components, such as buttons and game entry points. The text mentions specific experiment IDs, treatment indices, and tracking keys, indicating that it is related to A/B testing and user experience optimization on the LinkedIn platform. The provided text appears to be a collection of configuration items for LinkedIn's Chameleon system, which is used for A/B testing and experimentation. The text includes various experiment IDs, treatment indices, and tracking information for different LinkedIn features, such as job posting, organization administration, and profile creation. The text does not provide a clear narrative or main topic, but rather seems to be a technical configuration file or data dump for LinkedIn's internal systems. LinkedIn User Profile Data The provided text is a section from a larger document titled 'Post | Feed | LinkedIn'. The text includes various API requests and responses, as well as JSON data containing information about a user's LinkedIn profile, including their name, headline, and profile picture. The user, Sylvain Carle, is the Co-Founder and Executive Director at CIVIC. Another user, Kelly Gauthier, is mentioned as the President at Rally Assets. The text also includes information about the users' connections, privacy settings, and profile pictures.

I love using my Kindle to read and annotate books. It would be amazing if Recall could import my highlights and annotations, then work its magic to generate connections and summaries. This would make my reading experience even more enriching!

I would love the ability to create cards based on already existing cards. For example, I tested Recall by uploading online lectures from a writing class over multiple years. So, the topic of 'Plot' was covered in six videos and three classes each year. To create something easy to review, I had to manually create a 'Plot Writing Lecture Notes' card and transcribe the notes into it. Or, in a use that requires the AI to do more extrapolation, say I had cards for literary discussion around different books and wanted to create a card that summarized what themes the books had in common. Then, the AI would have to pick out specific information from different cards and form an overall summary, vs just a bulk summary of whole cards. This would let me interact with the knowledge more naturally, digesting it down to what I'm actually looking for at a particular time. Otherwise, I can see previous knowledge getting lost as it becomes too much work to go back to the original 'full text', as it were.

There's a lot of good educational content on instagram and a lack of good ways to integrate it into a second brain system