Hangman meets Wordle webapp in Angular

Hacker News

Hey HN, I am a novice web developer, and I built a new webapp game in Angular that combines the game play of Hangman and Wordle. I chose this project because I wanted to learn Angular, while also developing something useful. I have some prior backend experience. And, I was pleasantly surprised with how much you can achieve in the pure JS/Typescript these days. For my app, the backend only sends the daily puzzle data in JSON, while the entire game logic and interactions are completely implemented in the frontend. I wrote around 4000 lines of the frontend code for this project. For me, the best part was RxJS integration in Angular. It also had a fair amount of learning curve. However, once you have learned the basics, it saves a lot of redundant boilerplate code and makes the code more readable and clean. You can play the game for free and there is no sign-up required: https://10letters.app The game does not save any user data at the server. All data is saved in the local storage. So, you can play the game again in the incognito mode, or after clearing your browser cache. If you have any questions or feedback, please feel free to add them in the comments. Thanks!

Visit product View on Hacker NewsAug 27, 2022

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

64%64% 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, code · Missing: mac, agents, macos

61%61% 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: 000, io · Missing: https docs, excited, just released

40%40% 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 · Missing: mobile apps, ios, personal

38%38% 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

15%15% 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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