shouldreads

i came across this post on twitter with tons of really good book recommendations in the comments. it was tough to keep track of all the titles, and I wanted to see which books, authors, genres were mentioned the most, which ones were top rated, and which ones people liked the most. So, I compiled all the book recommendations using some data science + ai magic and built this website with advanced search and filtering capabilities to share these great book finds with everyone :)

features

• full text search: find books by title, author, or genre.
• ai search: semantically search for books
• filters: sort results by top authors, ratings, mentions, likes, comments, and impressions.
• amazon links: get direct links to purchase books from amazon in your country.

tech stack

• frontend: Next.js, Tailwind CSS, Aceternity UI
• backend: Turso (hosted SQLite DB)
• search: OpenAI (for similarity search), Minisearch (for full text search)
• deployment: Vercel

getting started

to get shouldreads up and running follow these simple steps:

1. clone the repository:

   git clone https://github.com/rittikbasu/shouldreads.git

2. navigate to the project directory:

   cd shouldreads

3. install dependencies:

    npm install

4. fire up the development server and open http://localhost:3000:

    npm run dev

contributing

shouldreads is an open-source project, and contributions are welcome so feel free to submit a pull request by following these steps:

1. fork the repository.
2. create a new branch (git checkout -b feature-branch).
3. make your changes.
4. commit your changes (git commit -m 'Add some feature').
5. push to the branch (git push origin feature-branch).
6. open a pull request.