Why should you use Suggest.it?
Suggest.it uses statistical data from the user-provided information and Reddit's API to match your post with the subreddit(s) that are most similar to the topic you're posting about. If you want to really dive in to how it all works, check out our GitHub!
Summary: Suggest.It helps you find the most relevant subreddit. (To get the most attention!)
About Us!
Marketing
User-Interface
The Marketing User-Interface team is comprised of myself, Brandon Fulmer and Chris Engel. Chris and I created the marketing website and the layout, as well as all the styling and visuals that you (the User) can see. We worked primarily in CSS/LESS and HTML and we published the website through Netlify.
React Team
The react front-end team includes AJ Merritt, as well as Zac Higgins. These guys put together the 'log in' portion of the website as well as added functionality to various different areas. They coordination with the back-end developers and the data engineer's flask app to make the magic happen.
Back-End
The back-end was done by Russ Terry and Mack Weber, they worked closely with the React team to manage the data that was coming in and then relayed it in a useable format to the Data Science team for processing.
Data Engineers
The Data Engineering team consisted of Stefano Ruiz as well as David Nagy. These two were responsible for creating the flask app and were the bridge between the machine learning module and the front-end react app that you use.
Machine Learning
The Machine Learning team (led by Matthew Sessions and Johana Luna.) created a model to house the data recieved from your (the User) inputs. The model takes a submitted post, converts it to numbers, then compares it to all the Reddit posts stored in its database.