Amrit – Crazy new toy programming language (Write Code in Hindi)

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Amrit - An open-source interpreted programming language based on Hindi written in GoLang. You can write code in either Hinglish or proper Devanagari script. This also boasts a very feature-rich playground powered by the WASM interpreter. Key Features - - All code is executed on client side using native WASM execution. - Playground can run offline once loaded. - Nice example support with preset saving. - Easy shareable code with QR code support. Language Features Supported - - Basic Language structures like variables, if-else, looping, numbers - Full UTF Support - Functions - Arrays Amrit Github Link - https://github.com/Suryansh-23/amrit Amrit Playground GitHub Link - https://github.com/Suryansh-23/amrit-playground I just built this because this felt like a fun project to try out and wanted to see if such a crazy idea would even be possible or not. Also, just wanted to know if the notion of programming would remain the same even when the language of code becomes different. I hope others like it as much as we do! Feedback and contributions are super appreciated. Also, if someone else would like to implement such an idea for some other language, I'd love to talk to them and possibly collaborate too!

Visit product View on Hacker NewsAug 24, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, using, code · Missing: mac, agents, macos

73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

57%57% 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

40%40% 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

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: collaborate · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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