Post Heat

Predictive social analytics

Created and ran Post Heat, an analytics SaaS product that monitored social networks and algorithmically deduced the best times to post to them.

Post heat was a predictive analytics service focused on increasing traction and reach on social networks. It continuously analyzed and learned from people and online trends to deduce the most viable times to post to various social networks.

Users also were able to analyze the data through interactive graphs and target other metrics such as virility, which indicated the probability of your post being shared. Responsiveness, or how likely it is that users will comment, respond, or interact with your post. Sentiment analysis enabled you to see what times users are the happiest and most positive, or negative and down. The overall Post Heat score was a combination of these, plus numerous proprietary metrics and considerations.

Languages & Tools

Ruby on Rails
Node.js
HTML
CSS
JavaScript
Redis
PostgreSQL
MongoDB
D3

Skills

Software Engineering
Product Management
Project Management
Marketing
Strategy
Sales
DevOps
Design
Branding