41–50 of 217 posts
Linkwarden is open source and self-hostable.
I wrote a python package [1] to ease the migration of Pocket exports to Linkwarden.
I built a similar tool that profiles/roasts your HN account: https://hn-wrapped.kadoa.com/ It’s funny and occasionally scary Edit: be aware, usernames are case sensitive
I built a similar tool that profiles/roasts your HN account: https://hn-wrapped.kadoa.com/ It’s funny and occasionally scary Edit: be aware, usernames are case sensitive
Very neat, this kind of classification & sentiment analysis with flavour text is a use case where LLMs really shine. For whatever reason, I'm getting an error in the Server Components render when trying my username. My first thought was that it might be due to having no submissions, just comments — but other users with no submissions appear to work just fine.
After reading this I realized I also have an archive of my pocket account (4200 items), so tried the same prompt with o3, gemini 2.5 pro, and opus 4: - chatgpt UI didn't allow me to submit the input, saying it's too large. Although it was around 80k tokens, less than o3's 200k context size. - gemini 2.5 pro: worked fine for personality and interest related parts of the profile, but it failed the age range, job role,…
You should be able to use Google Takeout to get all of your YouTube data, including your watch history. This article is a nice example of someone using it: > When I downloaded all my YouTube data, I’ve noticed an interesting file included. That file was named watch-history and it contained a list of all the videos I’ve ever watched. https://blog.viktomas.com/posts/youtube-usage/ Of course as an European it's a legal…
I do this to determine if a person I'm talking to online is potentially a troll. I copy a big chunk of their comment and post history into an LLM and ask for a profile. The last few years, I've noticed an uptick in "concern trolls" that pretend to support a group or cause while subtly working to undermine it. LLMs can't make the ultimate judgement call very well, but they can quickly summarize enough information for…
I do this to determine if a person I'm talking to online is potentially a troll. I copy a big chunk of their comment and post history into an LLM and ask for a profile. The last few years, I've noticed an uptick in "concern trolls" that pretend to support a group or cause while subtly working to undermine it. LLMs can't make the ultimate judgement call very well, but they can quickly summarize enough information for…
Honestly asking: Did you try it on yourself? What prompt do you use to avoid bias?
Just to note: The code block font size varies line by line on iOS Safari. Seems to be a fairly common issue.
I do this to determine if a person I'm talking to online is potentially a troll. I copy a big chunk of their comment and post history into an LLM and ask for a profile. The last few years, I've noticed an uptick in "concern trolls" that pretend to support a group or cause while subtly working to undermine it. LLMs can't make the ultimate judgement call very well, but they can quickly summarize enough information for…
It integrates a minimalist feed of your links with the ability to talk to your bookmarks and notes with AI. We're adding a weekly wrapped of your links next week like this profile next week.