stuess

3 ms·

1.
by stuess 2mo ago
Open source side project to serve a real need I had: I use n8n a lot for automations, and sometimes it's helpful to have a human (myself) in the loop. New customers signs up? Open their LinkedIn profile automatically in my browser. New
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Show HN: OpenThat.Link – Trigger a webhook, open a link in your browser(openthat.link)
3 points by stuess 2mo ago|1 comments
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by stuess 2mo ago
So our approach here to vet these: Between the two of us, we do speak 7 languages well enough to judge a localized site, and we have people around us for review on some more. We run our workflow for a new localized version of say, German, t
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by stuess 2mo ago
The point I'm making isn't (in life or in this blog post) that LLMs do a better job than humans. My point is that LLMs can get pretty close with the right context, and in some circumstances they can build context better than the t
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by stuess 2mo ago
This is interesting! Exactly our experience, you do have to guide LLMs on author the source text in the way we would write, with few-shot examples in the prompt. And then prompt them to transcreate so it doesn't calque (read as a liter
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by stuess 2mo ago
My point here is exactly that, as a startup, there's l10n that we can afford and l10n that's perfect. Could a human that has plenty of time to build context, browse the website, think about and learn our product do a better job at
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Show HN: Language learning using speech-analyzed native speaker video(reelang.com)
2 points by stuess 2mo ago|0 comments
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by stuess 2mo ago
Sharing this in hopes it helps other founders who are scared l10n is expensive/bad quality when using Claude Code and other coding agents, it doesn't have to be.
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We let models localize into 16 languages. How we made it read native.(reelang.com)
7 points by stuess 2mo ago|15 comments