Feature request based on Roam Research

[GJ_Roelofs]

@Bill_French

I think I failed to make myself clear in the context of the comment you are referring. Let’s revisit the origin of my comment -

I should’ve have elaborated - My understanding was, and is, that @ABp and you were talking about two different functionalities.

From the following quotes:

@ABp

Mind map plug aside, I also wanted to say that Roam is warming me up to the potential of “blocks” of text in Coda that could be “promoted.” By promoted, I mean converted from text into more database-type records with more depth, such as status, due date, assignee, etc.

@ABp

Then, the idea is you could possibly “convert” them, via right click menu or ellipses, to a row in a table. All the while leaving this block where it is in its “home” in the canvas or Rich Text description or Comment. And creating a reference to the destination row.

@ABp

As you may know, you can easily manipulate text in Confluence into Jira issues

@ABp is outlining the workflow of quickly manually converting selected text into data, as shown here:

From your reply:

@Bill_French

This is already possible and I’ve done some of this in varying engagements. It’s not easy, and it’s non-trivial for the reasons I mentioned in my question to @shishir during the recent webinar .

And follow up, the request seemed to be re-interpreted as more broad - including programmatic access and ways to ease the lexification or parse results of text.

My reply tried to bring the discussion to @ABp initial request - the workflow for manual promotion of text to type (rows in specific tables).

I think the functionality I outlined above could be introduced without too much hassle, and immensely useful if we allow the user to also state to which column the selected text should be parsed and whether the link created should be an inline view of the data (E.g. a formula =@<selected_text_row>.<selected_column> or an @ link to the relevant row.

Combined with the functionality in the thread on editable data for formula’s this could be a very nice workflow.