Better i18n

AI-powered localization infrastructure for modern apps

20 followers

AI-powered localization infrastructure for modern apps

20 followers

Better i18n replaces the fragmented stack of CMS + translation tool + CDN with one platform. Write content, AI translates across all your languages, publish to a global CDN in seconds. What makes it different: MCP-native — your AI agent (Claude, Codex) manages translations directly. Built-in multilingual Content CMS for help centers, blogs, and docs. CDN-first delivery with <50ms latency. Framework SDKs for Next.js, Remix, Expo, Flutter, Swift. Free to get started. No key limits on any plan.

Launch tags:SaaS•Developer Tools•Artificial Intelligence

Launch Team

Framer AI AgentsDesign and publish professional sites with AI

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Maker

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Hey PH! I'm Osman, co-founder of Better i18n. We built this because every team we talked to was gluing together 3+ tools for localization — a CMS for content, Crowdin/Phrase for translations, manual JSON sync between them, and a separate CDN for delivery. Better i18n handles all of it in one platform. The feature I'm most excited about: MCP integration. Your AI agent can create content, translate it to 47+ languages, and publish — all in one prompt. We run our own help center on it: help.better-i18n.com — 35 articles, 6 languages, zero manual translation. Would love your feedback. What's your current i18n setup and what's the biggest pain point?

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6mo ago

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6mo ago

We spent months building infra instead of marketing — honest take on what went right and wrong

We're two technical founders who decided to build a localization platform from scratch competing with tools like Crowdin that have years of enterprise infrastructure behind them.

Here's what actually happened:

We started with GitHub sync as the core workflow. It worked, but we quickly realized most teams find file-based workflows too slow. So we pivoted to a CDN-first approach translations served from the edge, publish from the dashboard, live globally in seconds.

That CDN layer turned out to be more powerful than we expected. We can now show customers which languages get the most traffic, which countries are requesting which locales real data to decide which markets to expand into next.

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