What I've been dreaming of is a "podcast" generated for a day of HN, but focusing on the comments and conversations.
I come here for the convos. But I also commute in a car, and I exercise with headphones.
I want like a radio show made of segments. Each segment is a post with the best conversations between users. Use a generative Ai voice service (like Coqui), and have it speak the comments aloud.
Then I can listen to interesting chatter through my headphones.
If you could find a way to summarize the comments too, that would be a huge win IMO.
Either way, very cool.
Nice. I also wrote a version of this (well chatgpt wrote it). I just use it: https://hn-glance.raemond.com/
Interesting, but I find much more value from discussion rather than the article itself.
Would be interesting to see how much value I’d get from a ChatGPT summary of the discussion rather than/in addition to the article. I could see that being much less “sterile” as well.
I wrote a tampermonkey script(1) so you don't have to navigate away and it shows you summary and takeaways right inside hacker news (2) div boxes, but i was using kagi.com/v1/summarization for the api which is now dead.
But this is the perfect fit for it as I see you have created services for extraction and summarisation which can be easily self hosted and turned into apis.
(1) https://gist.github.com/san-kumar/b3604ca40905556b4135fee64e... (2) https://imgur.com/a/kRUkn6g
This is very cool, I have worked on a similar project, but haven't managed to take the time to finish & launch it. Some food for thought:
I was interested in being able to scroll Hacker News but instead of opening the article open the summary. It would be as interesting to read a summary of the discussion below.
Ideally, it's possible to easily get to the real thing. This way you can decide what's interesting to dive into deeper and where it's good to get an idea of the TL;DR: even if it might not be accurate which is the next interesting point of contention that would be interesting to drill further down.
Also open source at: https://github.com/polyrabbit/hacker-news-digest/
A few things in mind which I want to implement but can't because
- there is no concept of "Sandbox" by OpenAI. - Trial period starts since the day I signed up on OpenAI rather than from the day I created my API Key.
By prompting differently, you can get it to avoid the "The article discusses..." and "The author discusses...".
Very cool, would be nice if the most relevant image would be picked though (which usually isn't a logo).
Would love to have this as a default first comment in HN (with recognizable marking of course).
So weird, I was thinking of building this exact same thing a couple of weeks ago.
Cool! Summarizing comments would be interesting too.
How are the summaries scored for accuracy/performance/etc.?
Maybe we could use this approach to revive the n-gate instead. I'd enjoy their take on this idea.
> An imternet uses OpenAI (business model: "Uber for plagiarism") to help hacker news to incorrect eachother about a topic without having to read TFA.
This is really useful, thank you.
I like the experience of using this tool, but did not work for paywalls. For WSJ, it generated a summary of its pricing offer.
lmao this has the potential to reduce the time i waste doomscrolling HN posts like "is coffee good for you?" by 90%.
thanks a lot!
imagine having this for other social media: "elon musk is trolling and a skater falls on a banana"
i would get so much time back
This is obviously a neat project, and I'm excited to see it. But... I spent a couple of minutes scrolling through the summarised posts and my main takeaway was that it was extremely boring compared to the normal experience of reading HN. Instead of dipping in and out of content, finding interesting nuggets and jumping around between topics, this felt like listening to someone read out the football scores.