[finfun234]

I have been working on a project called Shareseer. Shareseer was born out of my pain of finding company filings as I was learning about valuation of companies.

Another frustration of mine was reading boilerplate text when I read the company risk section. So I applied some machine learning & Natural language processing to extract the unique risks. The way to access it is to visit https://shareseer.com then search for a company name or ticker. You will find the 10-k/10-q filings along with risks marked as important by our algorithms. Alternatively you can make a query to https://shareseer.com/search?q=NFLX and replace tick with your desired tick. Analyzed Risks are available for the S & P 500. Filings are available for all companies. The other features available are a real time insider transaction feed and a company filings feed:

http://shareseer.com/today/insiders

http://shareseer.com/today/filings

It would be great if you could give the application a spin. I'm trying to learn:

a) Is this useful to you as an investor?

b) What are your pain points today in your research process?

c) Any other feedback you may have?

I think it’s cool because it allows any investor to improve their due diligence when buying an individual stock. It reduces the gap between what the people on Wall Street know and what the average joe investor knows. The insiders filings are an entire day faster than what major brokerages offer today. The risk analysis is unique too.