Obsidian Bookmarks: Save your place, save your headspace!
Based on Linking Your Thinking with Nick Milo's video on YouTube. If you like this content, support the original creators by watching, liking and subscribing to their content.
Starred notes lose effectiveness as the list grows because the meaning of each star becomes harder to track.
Briefing
Obsidian’s new “bookmarks” plugin is less about replacing starred notes and more about creating a reliable navigation system for your knowledge—so you can jump back to the right place without drowning in “star pollution.” Starred notes work well only for a small number of items; once the list grows, the special meaning fades and tracking becomes harder. Bookmarks, by contrast, can target far more than whole notes: headings, blocks, folders, graphs, and saved searches—then organize those entry points into a structured, reorderable, grouped view.
The core workflow starts with how quickly bookmarks can be added. A right-click on a heading lets a user bookmark that section without highlighting text. The bookmark can include a path and a custom title, and it appears in a dedicated bookmarks panel under user-defined groups. That means returning to a specific subsection—like a “rules of ideas cleanup” area inside a longer essay—becomes immediate, even after closing the tab.
Installation is straightforward through Obsidian’s core plugin settings: enable “bookmarks” (initially insiders-only, then expected to roll out broadly) and optionally keep “starred notes” on. The creator’s personal stance is that starred notes have become a crutch, preferring links and bookmarks instead. In practice, bookmarks can be created for the active tab as well, giving a star-like “save this spot” experience, but with a richer management layer.
Where bookmarks become genuinely powerful is in the variety of “bookmark types” used to match different thinking modes. “Map marks” serve as high-level maps of content—reliable entry points into structured knowledge like a “light kit,” “flight school” arrival page, and even Canvas notes. “Time marks” support daily-note workflows by bookmarking specific daily entries or temporary notes used for sense-making. “Graph marks” turn a global graph into a saved, color-coded view: by saving a graph search state, users can quickly see which notes are ranked or connected, helping decide what to work on next. “Search marks” do the same for saved searches—bookmarking filtered result sets (with options like reduced context, spelling corrections, and collapsed results) so research can resume instantly.
To manage execution, bookmarks also function as “progress points.” Instead of relying on tags alone, users can bookmark key subheaders or template sections that represent where work should continue—such as the last unfinished part of a course workflow, updates needed for a book-note template, or a “nexus” idea that deserves focused attention. The system even extends to writing workflow cues: “Hemingway points” are bookmarks placed mid-process so work can resume efficiently the next day.
A key trap to avoid is using bookmarks to temporarily star notes in bulk. That recreates the same pollution effect—too many saved items, diminishing usefulness. The takeaway is that bookmarks are designed for durable, structured retrieval: beginners can start by saving a small number of key items, while advanced users can build a full navigation layer across headings, graphs, and searches to support better, faster thinking.
Cornell Notes
Obsidian’s bookmarks plugin is positioned as a more scalable alternative to starred notes. Starred notes lose their value as the list grows, creating “pollution” where users can’t remember why items were starred. Bookmarks instead let users save precise entry points—headings, blocks, active tabs, graphs, and saved searches—and organize them into reorderable groups. The result is faster, more reliable navigation back to the right context, whether for research (search/graph marks), structured learning (maps of content), or execution (progress points and writing cues). The main caution is not to recreate star-like overload by using bookmarks as temporary bulk stars.
Why do starred notes stop working well as a system?
How does bookmarking a specific section differ from bookmarking an entire note?
What are “map marks,” and why are they described as reliable?
How do “graph marks” and “search marks” speed up research and decision-making?
What does the transcript mean by “progress points,” and how are they used?
What trap should users avoid when adopting bookmarks?
Review Questions
- What specific limitations of starred notes motivate the shift to bookmarks, and how does the bookmarks plugin address them?
- Give one example of how bookmarks can be used for research (graph marks or search marks) and one example for execution (progress points or Hemingway points).
- What is the “pollution effect,” and why does the transcript treat it as a trap even with bookmarks?
Key Points
- 1
Starred notes lose effectiveness as the list grows because the meaning of each star becomes harder to track.
- 2
Bookmarks can target more than whole notes, including headings and blocks, enabling precise jumps to the right subsection.
- 3
Bookmarks can be organized into grouped, reorderable collections, making retrieval faster than scrolling through long lists.
- 4
Graph marks and search marks turn saved graph views and saved searches into instant research entry points.
- 5
Progress points use bookmarks to mark where work should resume, reducing friction between sessions.
- 6
Avoid recreating star-like overload by using bookmarks as temporary bulk stars; too many saved items undermines recall.
- 7
For beginners and advanced users alike, bookmarks work best when used to build durable navigation rather than accumulating everything as “maybe later.”