The author shares their experience of posting a coding tool on HN with zero engagement, leading them to create hn-gems, a tool that curates overlooked, high-quality posts from low-karma accounts based on AI analysis.
AI-assisted curation, LLM, Open Source Browser IDE
2025-08-11
- website
Highlight 1
The continuous scanning of posts from low-karma accounts is a unique and valuable feature that highlights overlooked projects deserving of attention.
Highlight 2
The AI-assisted curation process ensures that only posts with technical merit and utility are selected, making the content highly relevant and of quality.
Highlight 3
The platform’s use of open-source tools (like XaresAICoder) is in line with the values of the developer community and offers an open and transparent process.
Improvement 1
The AI scoring system could benefit from more detailed criteria to make the curation process more transparent and understandable for users.
Improvement 2
There could be additional filtering options for users to sort curated posts by categories such as programming languages, project type, or other relevant criteria.
Improvement 3
The website could improve its speed and responsiveness, especially as the dataset grows and more posts are being scanned and curated.
Product Functionality
Introduce more filtering and sorting options to help users find posts that match specific interests, such as by programming language or project type.
UI & UX
Improve the website's responsiveness, especially for users accessing it from mobile devices. A clean, minimalist design would help users focus more on the content.
SEO or Marketing
Enhance SEO by optimizing metadata, adding rich snippets, and focusing on the project's mission of uncovering 'hidden gems' to attract a broader audience, including developers and tech enthusiasts.
MultiLanguage Support
Consider adding multi-language support to cater to non-English-speaking users. This would broaden the reach of the tool and allow for greater inclusivity within the global developer community.
- 1
How does hn-gems choose which posts to highlight?
hn-gems uses an AI model to scan new posts from low-karma accounts on Hacker News. It evaluates posts based on factors such as technical merit, originality, and utility. The top candidates are then curated every 12 hours.
- 2
Can I contribute a post to hn-gems?
Currently, hn-gems does not accept direct submissions. The tool automatically scans Hacker News posts from low-karma users to find and promote hidden gems.
- 3
How accurate is the AI's assessment of posts?
The AI model's assessment is based on predefined criteria such as open-source status, working demos, and technical value. While it strives for accuracy, the AI's evaluation is constantly evolving, and it can vary slightly with each run.