I need a professional opinion about Angular,Node,TypeScript project

Hacker News

I am trying to create a comfortable but strong architecture for one of my Angular, Node, Typescript project. So my bootstrap project is currently working fine, but lack of my JS only app architecture knowledge, I can not feel comfortable with my implementation. Feeling something is not right but i can't find it. So my question is, please check my project and drop your general or specific comments about it. My main concern is, this architecture approach strong/flexible/enough to go further development for mid size web application. Little bit background information, I am a senior software engineer/architect which actively working for 10+ years, mainly focused on .Net, Java, Android development stack. Here is the project repository : https://github.com/cihanduruer/WeeMS Test deployment to Azure : http://weems.azurewebsites.net/ Thanks for all the fish ! Cihan

Visit product View on Hacker NewsOct 13, 2014

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2points

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

74%74% 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 HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

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

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

36%36% 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

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

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

30%30% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

16%16% 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.

Correct prediction on native model

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