Our goal was to build a tool that allowed us to test a range of "personal contexts" on a very focused everyday use case for us, reading HN!
We are exploring use of personal context with LLMs, specifically what kind of data, how much, and with how much additional effort on the user’s part was needed to get decent results. The test tool was a bit of fun on its own so we re-skinned it and decided to post it here.
First time posting anything on HN but folks at work encouraged me to drop a link. Keen on feedback or other interesting projects thinking about bootstrapping personal context for LLM workflows!
Also I know that depending on the days / weeks / mood I will want to read different content from HN, so I guess there should still be like 30% of "random articles" in each category just to create some noise
We played around with the idea of a "fun" or "random" category, but ultimately didn't include it in this little first demo, as we found it super hard to have it not be just literally random (although that might not be a bad thing as you say)
On the topic of different moods and headspaces, thats one of the things more broadly we are really thinking about outside of this demo, and hadn't really considered for here but should. What different data can we use (in this case maybe just a different survey for different "profiles"), and how can a user manage those different profiles and front pages will be questions to answer.
Id be really interested to know if anyone has done topic grouped or themed frontpages for hackernews, as this would map well to that concept. ill have a look.
The generated page was really off for me — I had read most of the posts it ranked, at least a little, and most recommended as skips were some of my favorite recent submissions, and vice versa with dives.
On the other hand I'm not sure I'd want to use something like this much as something I like about HN are the pleasant surprises. Maybe as a side page or something if I were really in a rush?