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A reddit-type social media application for beekeepers to view and post questions and comments.

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HiveMind

Join our community of "bee-lievers".

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Table of Contents
  1. About The Project
  2. Getting Started
  3. Wins and Challenges
  4. Future Features
  5. Contact

Overview

HiveMind is where beekeepers go to get advice, ask questions to the experts, and meet our community of "bee-lievers." The frontend was built in React with TypeScript. We used Apollo Client for integration with the GraphQL backend, Cypress for testing and CircleCI for continuous integration. The HiveMind backend is a GraphQL API built in Ruby and Ruby on Rails and leverages ActiveStorage for image uploading along with an integration to Google Cloud Storage.

Built With

  • React
  • React Router
  • TypeScript
  • CSS
  • Cypress
  • CircleCI
  • Apollo Client (GraphQL)

Getting Started

Prerequisites

Installation

git clone git@github.com:hivemindapp/hivemind-frontend.git
cd hivemind
npm install
npm start

Wins and Challenges

Our wins and challenges lined up for the most part, what began as a challenge painstakingly transformed into a win. We certainly bit off more than we could chew with several new technologies all at once.

TypeScript was new for one of our FrontEnders - and new-ish for the other. We encountered several tricky typescript errors that took several hours of debugging, but learned a lot in the process.

GraphQL and Appollo were in and of themselves a fresh challenge, new for both the back end and the front end. As a team we definited and designed the exact queries we needed and incoporated them into your user interface.

But... we soon found that the two popular new techs on the block didn't place so nicely with each other. Stubbing and intercepting GraphQL with Cypress nearly polished us off. Documentation was sparse and stock overflow summaries were few and far between. With lots of assistance and experimentation, we managed to get a few queries stubbed.

Future Features

  • User log-in and authentication
  • Detailed user profile pages
  • Complete, end-to-end testing
  • The ability for a user to add a comment
  • Upvote and downvote system on posts and comments
  • Filtering comments based on relevance, location, and "buzz"

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