The author utilized the Algolia and Open AI APIs to compile and filter book recommendations from Ask HN posts for future reference, while also manually grouping similar titles due to challenges with name variations.
Algolia API, Open AI API (GPT-4), manual data curation
2024-10-19
- website
Highlight 1
The extensive database of recommendations sourced from a community-driven platform, ensuring a diverse range of valuable book titles.
Highlight 2
The user-friendly interface that allows users to easily navigate through posts and highlighted recommendations.
Highlight 3
The added statistics feature that showcases user engagement, helping readers discover trends in book recommendations.
Improvement 1
The need for improved title recognition mechanisms to minimize the manual effort involved in grouping books with similar names.
Improvement 2
Implementing a more robust search functionality to provide users with better results when searching for specific titles or themes.
Improvement 3
Enhancing the visual design and layout of the site to present information more attractively and intuitively.
Product Functionality
Consider adding filters for genres or themes to allow users to refine their search for recommendations more easily.
UI & UX
Improve the site's visual design with a more modern layout, clearer navigation, and better visuals to enhance user experience.
SEO or Marketing
Optimize the site for search engines by improving meta descriptions, using relevant keywords, and creating blog content related to book discussions.
MultiLanguage Support
Implement multi-language support to cater to a broader audience, allowing users from different linguistic backgrounds to access recommendations.
- 1
How does the website gather book recommendations?
The website gathers recommendations by analyzing posts from Hacker News, specifically those related to book discussions, and uses APIs to extract and filter relevant comments.
- 2
Can I browse recommendations by genre?
Currently, the site does not categorize books by genre, but it features browsing options by posts and highlights recommended books.
- 3
How can I provide feedback on the website?
Users are welcomed to give feedback directly through the site, as the author encourages community input to enhance the platform.