I have a two-part answer to this question:
First off, I love getting bookmarks from every bookstore I visit. I typically use these to track my place in the (physical) books I’m reading — I keep a few at hand on my nightstand, kind of wedged under my lamp, and have a big pile on a shelf in my office. Fun way to remember stores I went to years ago, and other random bookmarks I’ve accumulated…would be fun to scan / make a collage or something one day.
Book darts look very cool; my first thought was ‘hmm I’d probably lose them!’ but I like that you can get them by the tin!
Related to the above: I sometimes use multiple bookmarks if I want to save the spot(s) of an interesting passage / quote to make note of later. Book darts look perfect for this use case.
Second, as @jinjin mentioned, my other (weirder) use of bookmarking involves one of these! —
Why yes, that is a bookmark-timer designed to ‘encourage kids to make reading a daily habit’. That’s pretty much what I use it for too
I printed / cut out a bunch of little strips of paper to tape onto the long body part of this, each with a month’s worth of rows, and columns for day
, time
, and book
. I don’t always use it literally as a bookmark but I’ll keep it on my nightstand and/or carry with me and use the timer to track my reading time, both for physical books and Kindle.
At this point it’s a habit and takes just a few seconds to record my reading time for each day, and like 30 seconds once a month to swap out the little piece of paper. And every few months I’ll go through and transfer to a spreadsheet. Later on I can refer to this to update my books read on Goodreads, and possibly other fun uses of reading data I haven’t spent much time on yet…
I think it’s helpful but I don’t have proof. I’ve been doing this for a couple years now and I do get a fair amount of reading done, aiming for at least 15-30 minutes most days, some months averaging > an hour a day. Haven’t much dug into how my habits have evolved over time. I’ve been meaning to write more about this at some point and see what else I can glean from this weirdly specific data set!