Fundamental Engineering Principles Guide

Hacker News

I've just published a guide on fundamental engineering principles. It discusses common expectations from an engineer of any field. If you want to check it out: * YouTube (video with narrative + examples): https://www.youtube.com/watch?v=GKlfcNzTqrg * Article: https://quanticdev.com/articles/engineering-principles * Article source: https://github.com/soygul/QuanticDev/blob/master/articles/engineering-principles.md Outline of the video & article: 1. Communication 2. Collaboration 3. Analytical Thinking 4. Organization 5. Engineering Excellence 6. Money Management 7. Commitment 8. Leadership and Independence 9. Confidence Hope this helps fellow engineers of all disciplines. All feedback is welcome.

Visit product View on Hacker NewsNov 27, 2019

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

54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

43%43% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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

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

33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

31%31% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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