Transpile Scala to TypeScript

Hacker News

Hey HN! I created a Scala compiler plugin that takes Scala case classes and traits, transpiles them into Typescript, and emits it as a build artifact. There's a couple of SBT plugins that try to accomplish this but due to binary incompatibilities, can't work on Scala codebases that aren't on either Scala 2.10 (SBT 0.x) or Scala 2.12 (SBT 1.x). Using a Scala compiler plugin, it operates at the compiler level (as it's own Phase) so there's guaranteed to be no binary compatibility issues. I ran into this as I'm working on a Scala 2.13 project and couldn't get any of the current solutions to work (due to a myriad of reasons). Why do I need to transpile my Scala into Typescript? I have a Typescript frontend and don't want to manually curate my TS definitions coming from the backend. With Scala2TS, I can simply compile my Scala app and have the TS interfaces ready to be published to my NPM registry, then consumed by my frontend app. Thanks for checking this out! https://github.com/scala2ts

Visit product View on Hacker NewsApr 27, 2020

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

84%84% 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: using, code · Missing: mac, agents, macos

56%56% 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

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: interface · Missing: plus, platform, intuitive

31%31% 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 · Missing: arr, mrr, revenue

13%13% 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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