
globalize.now
Localize your app from your AI agent
1 follower
Localize your app from your AI agent
1 follower
globalize.now is AI-powered localization that lives in your coding agent. Connect the MCP to Claude Code or Cursor, and your agent sets up i18n, extracts your hardcoded strings, translates them, and opens a pull request on every push. 50+ languages, RTL included. No dashboard.





Hey Product Hunt π
I'm Liam, one of the team behind globalize.now. We came out of Lokalise, so we spent years watching localization stay painful long after the rest of the stack got easy.
Here's the problem we kept hitting: AI coding tools like Cursor, Claude Code, and Lovable ship apps fast, but they hardcode English straight into the components. The moment you want a second language, you're rewriting your UI, wiring an i18n library, and then re-doing it every time you prompt your way to a new feature. Most people just... don't. The app stays English-only and quietly caps its own market.
globalize.now fixes that where you already work: inside your coding agent.
- Install one skill, and your agent internationalizes your code for you (finds the hardcoded strings, wires the i18n library, generates locale files).
- Connect our new MCP server to Claude Code or Cursor, and your agent runs the rest from chat: create the project, translate the files, connect your repo.
- From then on, every push that adds new text opens a translation PR with the languages filled in. You review and merge. 50+ languages, right-to-left included.
No dashboard, no export button, no separate tool to babysit. Your locale files live in your repo and you own them.
We put it through a real test: a hardcoded English app went fully multilingual (including Arabic RTL) from one prompt, and a new string pushed to GitHub came back as a translation PR in about 40 seconds. Short demo above π
Pricing is one plan: β¬20/mo per workspace, β¬5 of credit to start, no card, no per-seat or per-language charges.
I'll be here all day β tell me where it breaks, what stack you want us to support next, and what would make this a no-brainer for your projects. Thank you for taking a look π