Got some great focusing questions from Ryan this weekend. They’re a good reminder of what’s important and whether or not this concept is the right one. Only real user feedback & stats will tell.

1) Are you solving a REAL problem?
a) increasing click through rates for advertising b)making content
more personalized to information available within social media

2) Who is your ideal customer?
a) any website that hosts ads (bloggers, online magazines) b)
users, people that are actively share information with social media

3) How much does the problem cost your ideal customer? **Very important Q for us**
currently billions are earned in advertising revenue per year. Even
a small increase to click through rates would make ad aggregators &
web hosts substantial money. Hundreds of millions of users are active
in social media, this number will only increase.

4) How do you explain in 30 seconds what your solution is?
Improve click through rates of ads by making them targeted and
personalized to each users interests. These interests are extracted
from social media historical data, with recent information being more
heavily weighted.

5) Is there a way to protect the solution/IP, and for how long?
Multiple businesses are using different strategies for semantic
extracted data. We can create a protected database (the system for
storing/weighting keywords over time, it’s a statistical pattern
recognition problem), the data itself is user owned (it’s their social
media info after all).