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CompletedDigital product / Case study

Thynkray

A blogging or articles website

Thynkray is a modern, full-stack blogging platform to provide seamless experience both writers and readers. Built with Next.js and NestJS, it offers robust features like rich text editing, advanced full-text search capabilities with Meilisearch.

Built for

Independent build

Thynkray / Preview

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Thynkray project preview 1

Engagement

Independent build

Current status

Completed

Core features

09

Technology stack

12 tools

/-> OVERVIEW

Product thinking, translated into a polished experience.

Thynkray is a modern, full-stack blogging platform to provide seamless experience both writers and readers. Built with Next.js and NestJS, it offers robust features like rich text editing, advanced full-text search capabilities with Meilisearch.

/-> CAPABILITIES

What the product delivers

09 core features

01

OpenAI: OpenAI is integrated to chat only (Limited features for free). The main thought is that when the user gets bored reading posts/discussions, this feature will give a fresh perspective with chit-chat.

02

User Auth-authorization: Secure login and registration using NextAuth.js with Google OAuth integration. Also secured mutatabled endpoints (update/delete), only the data owner can do the operation.

03

Posts: Writing, reading, and give opinion(comments) to a post. Similar to Medium

04

Article Management: Create, edit, and delete articles with a rich text editor.

05

Advanced Search: Fast and relevant search results powered by Meilisearch.

06

Discussions: Discussion is the best feature for this website, where users can collaborate on a discussion. Its similar to Stack Overflow. Anyone can open/create a discussion based on a topic (like Authentication with Zustand and Next.js ), and other users can answer the question/discussion.

07

File Uploads: Upload images and files directly to Google Drive using the Google Drive API.

08

Responsive Design: Optimized for all devices with Material UI components.

09

State Management: Efficient state handling using TanStack Query.

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