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Traduora – App translation management for teams

Hacker News

Traduora – App translation management for teams

Hello all! Recently I've been working on traduora, a web app that helps you manage the translation of your own project into multiple languages. It's still work-in-progress, but I'd love to get some feedback from you guys (both landing page and web-app if you end up trying it). I'm currently working on a few missing core features: teams and API access. But you can already make use of it if you wish, it's free with some limits while it's on beta. Things you can do: - Add project terms/translations or import existing ones. - Edit translations and terms. - Export to various formats. - (Soon) Manage team members. - (Soon) Access API directly from your projects to check for updated translations. Let me know what you think. The landing page in particular will have more info on the product's features soon. https://traduora.com Cheers!

Visit product View on Hacker NewsJan 8, 2019

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74%74% 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 · Missing: supports, reddit linkedin, podcasting

70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, io · Missing: https docs, excited, just released

26%26% 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 · Strong signals: soon · Missing: plus, platform, intuitive

23%23% 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

16%16% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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