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these are the functions mentioned in the repo readme. seems theses can be done without gpt ? ~~~ Right now, NewsNerd HackerBot is able to: - Get you the top

these are the functions mentioned in the repo readme. seems theses can be done without gpt ? ~~~ Right now, NewsNerd HackerBot is able to: - Get you the top, best, new, best, ask, show and job stories of Hacker News. - Gets you filter the stories by any keyword / keywords you want (e.g. Give me 20 stories about Sam Altman and OpenAI) ~~~

lucb1e 3y ago
I semi-regularly remember reading something without knowing the exact wording used for the title, particularly for terrible titles like "A new approach" (because that's the original title even though it helps nobody), so the Algolia HN search is hard to use because I need to try a lot of variants ("was that article with that shell script trick about Bash? Linux? Shell scripting in general?") and (near-)synonyms ("emission", "greenhouse", "climate", or "warming" could all be used in an article about environmental policies). Being able to ask "give me the story from last week about global warming", and it being able to recognize "Climate change goals adjusted at government meeting" as being a match, without it matching any of the actual words, can be very helpful. I believe that is one of the things Google silently innovated/implemented a ~decade ago, or at least I never heard anyone talk about it the way that people talk about PageRank as magic sauce, but finding such topical synonyms is key to finding more relevant results. (Or super detrimental in other cases, but the quotes operator can help turn that down.) I would be curious how they did it, given that LLM wasn't around then
- sshine 3y ago
  I just use my browser history.
  - lucb1e 3y ago
    Same story: browsers also need to know what keyword was in the page title or URL to find it. (And I use HN on three devices.)
mtrofficus 3y ago
Yes, what I mean by that comment is that this interface let's you access all of this information in a chat-based fashion, You don't need to change the tab (from top to new for example), or create some manual filtering. You just ask the chatbot to perform this operations from you (and you can ask for any number of stories you want, sorted by score, etc.). Nest steps I have in mind (would like to know your opinion about them): 1. Access comments informations (e.g. asking the chatbot to give you a summary of the sentiment analysis on the comments for a given story) 2. Access content information (e.g. suppose one story links to a news article in Xataka for example, it would be really cool for the chatbot to access the content of the webpage and being to answer questions about it) Any thoughts?
- nittanymount 3y ago
  yes, a sum for the discussions under one news, that will be useful, when there are many discussions, it is hard to read with the current tree-style organization. nice work.

lucb1e 3y ago

I semi-regularly remember reading something without knowing the exact wording used for the title, particularly for terrible titles like "A new approach" (because that's the original title even though it helps nobody), so the Algolia HN search is hard to use because I need to try a lot of variants ("was that article with that shell script trick about Bash? Linux? Shell scripting in general?") and (near-)synonyms ("emission", "greenhouse", "climate", or "warming" could all be used in an article about environmental policies). Being able to ask "give me the story from last week about global warming", and it being able to recognize "Climate change goals adjusted at government meeting" as being a match, without it matching any of the actual words, can be very helpful. I believe that is one of the things Google silently innovated/implemented a ~decade ago, or at least I never heard anyone talk about it the way that people talk about PageRank as magic sauce, but finding such topical synonyms is key to finding more relevant results. (Or super detrimental in other cases, but the quotes operator can help turn that down.) I would be curious how they did it, given that LLM wasn't around then

sshine 3y ago
I just use my browser history.
- lucb1e 3y ago
  Same story: browsers also need to know what keyword was in the page title or URL to find it. (And I use HN on three devices.)

mtrofficus 3y ago

Yes, what I mean by that comment is that this interface let's you access all of this information in a chat-based fashion, You don't need to change the tab (from top to new for example), or create some manual filtering. You just ask the chatbot to perform this operations from you (and you can ask for any number of stories you want, sorted by score, etc.). Nest steps I have in mind (would like to know your opinion about them): 1. Access comments informations (e.g. asking the chatbot to give you a summary of the sentiment analysis on the comments for a given story) 2. Access content information (e.g. suppose one story links to a news article in Xataka for example, it would be really cool for the chatbot to access the content of the webpage and being to answer questions about it) Any thoughts?

nittanymount 3y ago
yes, a sum for the discussions under one news, that will be useful, when there are many discussions, it is hard to read with the current tree-style organization. nice work.