Unlingo – open-source platform for localization

Hacker News

Hey HN, I'm Igor and I’m building Unlingo, an open-sourced platform designed to make internationalization less painful. Features: - It's super fast to set up. You can genuinely go from zero to a multilingual app in about 3 minutes. - AI assistance. Generate translations on the fly when you don't have a human translator ready. - Version Control. Safely test new copy and features in an isolated branch without affecting production. - Screenshots. You can attach screenshots directly to translation keys so translators know exactly what they're working on. - Insta Sync for keys. Edit your primary language, and the keys are instantly created for all other languages, ready to be translated. Demo here: https://youtu.be/0tjNs2iU3VA?si=TIll8BR06wpU9CpP I'd be absolutely thrilled if you could check it out or give the repo a star. Let me know what you think!

Visit product View on Hacker NewsAug 26, 2025

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

88%88% 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: created · Missing: supports, reddit linkedin, podcasting

69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

65%65% 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

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

31%31% 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

19%19% 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

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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