Wuchale: Protobuf-like internationalization from plain code

Hacker News

If you, like me, are put off by the huge effort required to add i18n to your web app (Svelte/React/SolidJS), let alone make it performant, then this is for you. I worked on this exact issue over the summer. Where it mainly differs is two things: 1. It lets you keep your code as-is: <p>Hello</p> stays like that. 2. It adds almost zero bundle overhead by just putting the messages in arrays: ['Hello']. Accessed by indices, like Protobuf, no keys, and no function-for-each-message. Bonus: it can optionally auto-translate with Gemini + HMR in different languages during dev! Feedback always welcome!

Visit product View on Hacker NewsAug 27, 2025

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

84%84% 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: gemini · Missing: supports, reddit linkedin, podcasting

63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

48%48% predicted probability of success on TrustMRR, 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

44%44% 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.

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

20%20% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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