Inspiration
Being at wealthsimple, thinking of something fintech, working with chrome extensions, building a simple tool
What it does
Snag searches through twitter feeds and filters them by customized location, keyword, text, & emotion to hone in on potential customers.
How we built it
- PostgreSQL on the back end to save potential customer messages
- Ruby on Rails to parse twitter messages, filter through Indico and provide API endpoints
- React to consume API endpoints and generate views
- Chrome to pack into a simple extension tool for easy use
Challenges we ran into
- Time constraints
- API limitations (give us twitter firehose)
- Data quantity and quality
- Machine learning algorithms (or lack thereof)
Accomplishments that we're proud of
- Making something that works in a short period of time (the data it pulls is pretty relevant!)
What we learned
- Chrome extensions
- Delved a bit into machine learning and realized that it was a pretty hard thing to get right
- Building an app from bottom to top
What's next for Snag
- Pulling messages from other platforms such as Reddit, Facebook, Medium, etc...
- Improved filtering capabilities
- Customized for individual companies
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