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Sindlish, a programming language for Sindhi speakers

Hacker News

Sindlish, a programming language for Sindhi speakers

Hi, I’m Amanat, a student from Pakistan, and I’ve been working on a programming language called Sindlish. The idea started from wondering what programming would feel like if the language used the vocabulary of the language you actually speak. Sindlish is designed for Sindhi-speaking communities and currently uses Romanized Sindhi syntax. A small example: ```text kaam jor(a, b) -> adad { wapas a + b } adad jawab = jor(3, 4) * 2 likh("jawab =", jawab) ``` It currently has its own lexer, parser, resolver, bytecode compiler, stack-based VM, type system, error handling, collections, closures, CLI/REPL and VS Code support. It’s still a work in progress, and I’d really like feedback on the language design and the implementation. Website: https://sindlish.vercel.app/ The website may be a little slow right now since most of my time is going into the language itself rather than the website.

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Product HuntOn track for Day 1 leaderboard · Strong signals: code · Missing: mac, agents, macos
72%72% 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 · Strong signals: started · Missing: supports, reddit linkedin, podcasting
61%61% predicted probability of success on Indie Hackers, 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 · Missing: mobile apps, ios, personal
45%45% 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
26%26% 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
17%17% 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.

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