Guest post by Parker Barrile Predictify is a prediction platform that adds an 
interactive, forward-looking dimension to the news. You can read a news story, make a prediction on the topic, and have a discussion with other users all in one visit. Unlike a poll, we score every prediction against the actual outcome, so you can build a reputation over time based on the accuracy of your predictions. It's like fantasy sports for everything else.
interactive, forward-looking dimension to the news. You can read a news story, make a prediction on the topic, and have a discussion with other users all in one visit. Unlike a poll, we score every prediction against the actual outcome, so you can build a reputation over time based on the accuracy of your predictions. It's like fantasy sports for everything else.It's fun to be right, but it can also be profitable.There are no display ads on Predictify. Instead, we offer sponsored questions for marketers who want to create highly-engaging advertising experiences. We charge advertisers $1 per prediction, and we share a portion of that fee with you, the predictors, based on your accuracy to encourage thoughtful participation and high-quality predictions (tell me more). Best of all, it's free - no points or bets required.
So how much can you make? A lot, if you're good. The highest payout to-date is $172.74 -- not bad for spending 30 seconds making a prediction. To see the latest sponsored questions, click here? (we'll be adding more in the future). And tell your friends. The pot increases by $1 for every prediction up to the maximum set by the sponsor.
In 2008, we paid out over $20,000 to our users. We hope you join us for a fun, interesting ... and lucrative 2009!
About the Author
Parker Barrile is co-founder & CEO at Predictify, where he drives company strategy and leads business development and operations. Prior to founding Predictify, Parker was a business project manager at Google and a consultant at Bain & Company. Parker holds an MBA from the Stanford Graduate School of Business and a BS in Mathematics from Stanford University.
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