My main use case for this is: I get some random data file thrown at me. Could be json, csv, xlsx anything that has data that can somehow be interpreted somewhat tabular and I want to find out quickly what's going on.
You can really go from not knowing what's in a file to a decent understanding in less than a minute.
Recently I have been working a lot with semantic sentence encoding. For example for some semantic search use cases or semantic clustering.
As a sort of demo and way to explore the potential and limitations of semantic encoding, I thought it would be fun to build this small side project together with a colleague.
It's basically a HN clone based of VueJS' HN clone with the small twist of having the top 3 semantically most similar together with the current HN stories.
I have been using this for some time for myself now and I find sometimes some fun stories come up. It doesn't always work so great, but see for yourself.
I added a feature for ranking how similar you perceive the story to be. If enough people make use of the ranking feature it could be possible that a dataset of similar HN-stories title pairs would come together (I'm thinking of sth. like the GLUE STS-B dataset).
If that was the case I would, of course, make it available publicly.
Thanks for reading and please let me know your thoughts :)