Code of War – Satirical book about moving up the IT corporate ladder

Hacker News

Hello dear HN crowd, I love when I stumble upon a developer war story in a random comment here on HN. I love it so much that I also wanted to share some of the stories I've collected over the years working in IT. I came up with the idea to present the stories in a somewhat unusual way, in the style of the malicious self-help book. The book gives you advice on how to succeed in IT, from the interview phase to the management, by acting like an immoral, unscrupulous person. The advice is based on experiences with some shady, weird people I met throughout my career. After every chapter, there's a short story about the person who was the chapter's inspiration. I've worked with those people, so everything is a first-hand experience! This was my first attempt at doing something like this, so go easy on me! :) One cool fact! I used entirely free and open-source software for the creation of this title. That's why I'll donate 10% of all the proceeds to my favorite free software projects!

Visit product View on Hacker NewsOct 12, 2022

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

73%73% 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: code, open · Missing: mac, agents, macos

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

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

50%50% 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

32%32% 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

21%21% 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

12%12% 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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