I self-published a book

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Hey folks, I wanted to share my latest project, which is a book that I wrote and self-published. The book is called Behind the Ivy Curtain: A Data Driven Guide to Elite College Admissions, and the link is http://www.amazon.com/gp/product/B013YFIQ30. Let me give you some backstory. I went to a fun high school but it was really easy and fun and I was a pretty big slacker. Around sophomore spring I decided I wanted to leave Florida, and the best way to do that was to get a scholarship to a good school. I had no idea how to do that so I spent a bunch of time reading online forums like College Confidential (http://talk.collegeconfidential.com) to figure out what works. I then acted on the advice, became the first kid from my school to go to an Ivy, and gave presentations/tutoring sessions at school to help other kids - I'm still close with my principal and try to be involved in the community there. Anyways, I really wanted to consolidate my knowledge in book form, but there are other books on college admissions. So what I did was programmatically scrape the forums to gather admission results for nearly 5,000 kids over several years to figure out what works and what doesn't. Most of you have graduated college already, but I really want to use the book to share this info broadly. Specifically, college admissions consulting is a multi-million dollar industry for no reason - it's all built on information asymmetry. I want to get this stuff into the hands of every interested kid, and I wanted to use real data/outcomes instead of "oh well this one kid a few years ago did X", so I put in the effort and wrote this book. The book is pretty cheap ($4.99) so buy it if you want, but I think what's more interesting to the HN community is the process I took. I have hit the character limit so the process is in a comment on the post.

Visit product View on Hacker NewsAug 16, 2015

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nativeThis product was originally launched on this platform.

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50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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