Booksrocket.com and Peter Thiel's Last Book GIVEAWAY

Hacker News

Hello everyone, we launched http://booksrocket.com yesterday and we got featured on PH. What is BOOKSROCKET? Booksrocket, in his own small way, want to help you to read more books. We select the best new books on Amazon library, selected by your favorite genres and people’s feedbacks. Then We’ll send you the list once a week in a simple, clean and ad-free e-mail. HOW IS BUILT? BooksRocket runs on top of Amazon APIs. We used Amazon Product API to fetch new books and Amazon Affiliates to monetize. And last but not least: Amazon GiveAway for the marketing stuff as incentive to try and subscribe to BooksRocket: We are giving away 5 copies of "Zero to One: Notes on Startups, or How to Build the Future by Peter Thiel." Every user registered through http://www.producthunt.com/posts/booksrocket will have a chance to win a copy of the book. Let us know what do you think about.

Visit product View on Hacker NewsApr 26, 2015

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

90%90% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: user, new, notes · Missing: mac, agents, macos

73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released

55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

26%26% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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