RankMe πŸ“Š

RankMe πŸ“Š

Overview

I developed a web app (still in BETA) that ranks coding bootcamps based on social and rating score based on data crawled from various sites (LinkedIn, Twitter, Yelp, Course Report, Facebook, AngelList, Google+, etc.) using Cheerio and the MEAN stack.

This project was completed on August 11th, 2015 for the Stackathon phase of Fullstack Academy.

Features

  • Logo, description, and home page link are grabbed from Twitter profile.

Review and rating scores are calculated from

  • Facebook
    • number of reviews
    • average rating
  • Google+
    • number of reviews
    • average rating

Social score is calculated from

  • AngelList
    • followers
  • Facebook
    • likes
  • Google+
    • followers

Future Features

  • Users can add bootcamps.
  • Admins can add/update bootcamps.
  • Sort by specific provider.
  • Resource page.
  • Sockets for real time adding and updating of bootcamps.
  • Calculating Techendo average rating fairly.
  • Calculate number of unique reviews from each provider, but don’t actually copy the reviews over.
  • Better comments so others can easily contribute.
  • Get links to other links from Course Report so less links are needed and scraping is faster.
  • Refactoring of code in general.

Tools

Stats

  • 18 commits

GitHub Repo

fvcproductions/rankme

rankme - We rank coding bootcamps πŸ“ˆ

Screenshots

Rank Me – About | BETA

Rank Me - About | BETA

Rank Me | BETA

Rank Me | BETA

RankMe Logo

RankMe Logo