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Joshua Maher (<strong>102</strong> points)Curtis Jefferson (<strong>8</strong> points)Marina Martin (<strong>8</strong> points)Nearlyweds.com (<strong>8</strong> points)aviel (<strong>5</strong> points)Amitha Singh (<strong>2</strong> points)Adam Wygle (<strong>2</strong> points)Brian McElyea (<strong>2</strong> points)Veronica Sopher (<strong>2</strong> points)
Would you like to predict the effectiveness of your tweets BEFORE you post them? Use TweetRater to get a prediction based on historical data
Could be Twitter and web-based to start, eventually could be a SM Client that allows posting to SM feeds - perhaps a plug-in to existing SM tools like Seesmic.

Using a statistical analysis of effective tweets (analyzing information such as the number of followers, re-tweets for time of day/day of week, keywords, tags, proximity of influentials, etc), generate a grade (A, B, C, D, F) of the potential effectiveness of the tweet. Then suggest changes to make the tweet more effective.

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