WIP: Build a scoring program to detect primed soft-landing prospects

Background

Corporate Development's goals are to produce a high velocity of acquisitions per year. Based on our basic deal flow funnel we need to be able to source a high number of companies. From that high number we need to find an efficient way to identify which matches our target profile and is also at the right time to engage for an acquisition conversation.

Objective

Create an automatic module which will be able to:

1. Intake a list of companies
2. Track their activity metrics (see below)
3. Store an activity score for the companies tracked
4. Alert on changes to a desired activity score

Activity Metrics

Count the following with a timestamp for each activity:

1. Employee count
2. Fundraise capital
3. Date of last fundraising
4. Posts on Twitter (Twitter selected here as the most prominent social platform for a startup)
5. Code contributions on GitHub repositories
6. Changes to GitHub repositories (issues or other assets)
7. Blog posts on the company's website/domain

Activity Score

Scoring system (based on activity in the last 6 months unless noted otherwise):

Alert

Based on the activity metrics, a decline in metrics should trigger an alert following a logic:

1. No activity (Twitter AND blog AND GitHub changes) in the last 6 months

OR

1. A decline of more than 25% in the number of employees in the last 3 months