Show HN: I analyzed why my post got 0 votes and built this
Continuous scanning: Analyzes all new HN posts from accounts with <100 karma, scoring them for technical merit, originality, and problem-solving value AI curation: Every 12 hours, an LLM deep-dives into the top 10 candidates, checking GitHub repos, documentation quality, and actual utility
The result is what you see at the link - a curated list of overlooked quality posts that deserve more attention. The interesting part: I barely wrote any criteria. I just told Claude "open source good, pure commercial bad, working demos good" and let it figure out the scoring. The AI assessment varies slightly each run, which actually makes it more interesting. GitHub: https://github.com/DG1001/hn-gems
Is this useful? Do you have ideas how to improve this tool if necessary?
(And yes, my XaresAICoder that got 0 votes? The AI thinks it's actually pretty good. I'll take that as a win.)
Take a look at /new, choked with AI products and “Ask HN: How come Vibe Coding Doesn’t Work For Me Although It Works For Everyone Else?” Or “Show HN: I Vibe Coded Something and It Almost Works”, “Is MCP really that evil program from Tron?”, etc.
The cheat code for August 2025 is it’s not about AI and if it an AI-oriented product it doesn’t say so right out front.
What I was trying to say about spam is that your karma doesn't count so much as being a participant in the community counts. Like, I post a lot of articles to web sites that aren't my blog so if I post a few links to my blog it is OK. Now I'm an extreme case because I post a lot of links, but somebody who has like 1/10,000 the karma I have or less could post what they like so long as they aren't posting all links to the same web site. That's the place where your participation matters -- my posts don't do any better than anyone else's.
It seems to go to a HN post that is something else entirely??
Nice UI btw, plus good use of AI for scoring/summarization.
I wrote something kinda similar that scrapes HN (using Firebase) for particular keywords I'm interested in. It gathers all hyperlinks mentioned in comments and uses NLTK to summarize. Kind of a curated HN reading list.
I'm currently working on using an LLM for the summaries.
Your project has given me a few ideas for mine. Thanks!