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Astra – a new js2exe compiler

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Astra – a new js2exe compiler

Hi everyone I'm new here and i wanted to introduce my project i've been working on. Astra is a simple but powerful node.js to exe compiler. It uses esbuild and Node SEA. It uses postject to inject your code to nodejs binary. It focuses more on compiling cli and Servers like pkg or nexe (express) than fullstack applications like electron or tauri. It has rich ESM and typescript support. It has good DX and cli UX. I made it bc i didn't like using pkg or nexe, they cause a lot of problems with esm. LIMITATIONS: Now it has problems compiling projects with depencides containing binaries (e.g. bcrypt, rcedit), and it compiles only for Windows but i'm working on it If you like it, leave a and comment what you think about it!

Visit productView on Hacker NewsMay 20, 2025
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Launch Intel predictions

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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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
42%42% 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
38%38% 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
37%37% 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 · Missing: arr, mrr, revenue
9%9% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: introduce · 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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