Predicts which VC's will invest in a company based on user given data and crunchbase data.

Set the following environment variables

• port- port to serve the app on
• host- host to serve the app on
• crunchbase_key- your api key for Crunchbase

pip install -r requirements.txt
python app/cb_scraper.py
python sync_db.py
python app.py

1. It pulls from Crunchbase a list of all the 'financial organizations' [vcs], which include all VCs (but not most angels).
2. Goes through this list getting the info on each from Crunchbase
3. Makes a list of all VCs that have more than 19 investments [topvcs] (it also then saves this variable as a pickle so I can restart without going through steps 1-3 again... steps 1-3 make an awful lot of requests to CB, so they take a while)
4. It then makes a list of all the portfolio companies to get (since any company may have several VCs, we don't want to just go through each VCs portfolio because then we'd be calling the API multiple times for the same company.) [costoget]
5. It then gets each company information, gets the tag and overvew and creates a set of cograms.
6. The last part creates sets of n-grams (grams, bigrams, trigrams)