We've talked to founders, developers, and localization teams over the last few months, and one thing kept coming up: translation quality keeps getting better, but products still feel different across languages.

We're curious how others are handling this today.

Have you ever reviewed a translation that was technically correct but just didn't sound like your product anymore?

A lot of startups start with English only, then suddenly need to support multiple markets.

How many languages does your product currently support, and what has been the most painful part of the localization process so far?

We're collecting feedback while building LocIn AI and would love to hear real experiences.

We're seeing teams use everything from spreadsheets and ChatGPT to DeepL, Crowdin, Lokalise, and fully manual workflows.

What does your localization process actually look like today?

Always interested in seeing how different teams approach the problem.