Tech Industry, Tech Startups, and Digital Books

Hacker News

Hello Hackernews! So today I was experimenting with the Product Hunt books section, found here: https://www.producthunt.com/books It's a great place to discover interesting reads, especially related to technology, tech startups, and the digital space. Here's the books I submitted to PH: The $100 Startup - Fire Your Boss, Do What You Love and Work Better To Live More http://amzn.decenturl.com/100 --------------------------------------- Breached! - A Cautionary Tale of Cybersecurity and Intrigue http://amzn.decenturl.com/breached --------------------------------------- The Industries of the Future - In the next ten years, change will happen even faster http://amzn.decenturl.com/future --------------------------------------- Elon Musk - How the Billionaire CEO of SpaceX and Tesla is shaping our Future http://amzn.decenturl.com/musk --------------------------------------- Superforecasting - The Art and Science of Prediction http://amzn.decenturl.com/forecasting --------------------------------------- So You've Been Publicly Shamed - Our world's most underappreciated forces: shame http://amzn.decenturl.com/shamed --------------------------------------- Abundance - The Future Is Better Than You Think http://amzn.decenturl.com/abundance --------------------------------------- The Everything Store - Jeff Bezos and the Age of Amazon http://amzn.decenturl.com/jeff --------------------------------------- Note: yes they are shortened for tracking purposes, and yes, they have a referral code in them, so I get a small 'advertising fee' if you buy a book through Amazon. I hope you learn something from them if you decide to grab a copy :)

Visit product View on Hacker NewsFeb 21, 2016

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

77%77% 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.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: new, code · Missing: mac, agents, macos

27%27% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

14%14% 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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