I use self hosted https://karakeep.app/ to keep links I find interesting. In a year of use I think I only went back twice to find a link I saved. That means most of the time the stuff I think I need to keep for later are useless.
That’s a brutally honest metric, and I think it’s common: most “save for later” is really “offload for now”. The fact you only resurfaced twice doesn’t mean the tool failed — it might mean the capture filter is too loose, or resurfacing is missing a good trigger.
Do you think the better fix is stronger filtering at capture time (keep less), or a lightweight resurfacing habit (e.g. a weekly 10-minute review / 1–2 items per day digest) so more of it gets a fair second look?
I’m exploring this exact “offload vs resurfacing” problem (more context in my HN profile/bio if you’re curious).
I also use Karakeep, but for me the value is in the full text search + AI tagging. I very often remember some page or article I visited a while ago and want to revisit it, only to not be able to find it because I don't remember where it was. Karakeep essentially acts as my own personal search engine to let me search through the best pages I visited.
That makes sense — treating it as a personal search engine is a real, high-ROI use case. Full-text search covers the “I remember the idea but not where I saw it” problem really well.
Out of curiosity, what’s the bigger win for you: full-text search itself, or the tagging/metadata layer that helps narrow results when your memory is fuzzy? And do you mostly search by keywords, or by “context” (project/topic you’re working on)?
I’m validating a similar retrieval-first angle (summarized in my HN profile/bio if you want to compare notes).
item007|29 days ago
Do you think the better fix is stronger filtering at capture time (keep less), or a lightweight resurfacing habit (e.g. a weekly 10-minute review / 1–2 items per day digest) so more of it gets a fair second look?
I’m exploring this exact “offload vs resurfacing” problem (more context in my HN profile/bio if you’re curious).
flexagoon|29 days ago
item007|29 days ago
Out of curiosity, what’s the bigger win for you: full-text search itself, or the tagging/metadata layer that helps narrow results when your memory is fuzzy? And do you mostly search by keywords, or by “context” (project/topic you’re working on)?
I’m validating a similar retrieval-first angle (summarized in my HN profile/bio if you want to compare notes).