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Fluent AI Localization Editor

Hacker News

Fluent AI Localization Editor

I built a tool to help me translate project fluent localization files. And because it is 2024, of course it uses OpenAI to help with the translations. This was a 2 weekend project and I decided to just put it out there and see what happens. It's all open source if you wish to modify it or contribute back: jillesvangurp/fluent-ai. Of course the tool itself is localized and you can load the ftl files from the tool if you want to play around a bit. You'll need an OpenAI key for using the AI part. But even as a translation editor, it's useful. It's all browser based and there is no server component (other than OpenAI). And fair warning: it's all kotlin-js which might not be everybody's cup of tea. There probably are bugs and of course while generally fine, OpenAI translations aren't flawless. There is a lot of potential for other features. I would love to get some feedback on this.

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: openai, using, open · Missing: mac, agents, macos
82%82% 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
74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released
53%53% 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 · Missing: plus, platform, intuitive
38%38% 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.

Incorrect prediction on native model

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