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Show HN: Blabla Meter – Jev scores how useful page content is before you read it

Hello thereI built a little Chrome extension that analyzes the content elements on a page, scores their "usefulness" and labels them based on that score. What counts as useful can be customized to your preferences and interests, and it learns from your feedback on the scores.Each element gets a badge with its score; hover it for more details.I'm using Jev, so the basic analysis is very fast and very cheap. You need to add your Jev key and run the small local bridge (it's in the repo).For deeper analysis (e.g. a pareto summary) you bring your preferred AI key.Chrome Web Store: https://chromewebstore.google.com/detail/emjbfdcigbfojhdipap... Comments URL: https://news.ycombinator.com/item?id=50435166 Points: 1 # Comments: 1

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Show HN: We Gave AI Coding Agents Production Memory

Hi HN, I’m building Codela to help coding agents learn from what happens after their code ships.I realized that my AI agent writes a change, the tests pass, and it gets deployed. Then in production a problem happens, I fix it, but what it did wrong and why never reaches the agent, so futures session usually make the same mistake.Codela checks every deploy against how your app actually behaves in production, learns from the ones that broke it, and teaches your agents so they don’t repeat the mistake.Would love any feedback on this, thanks! Comments URL: https://news.ycombinator.com/item?id=50428670 Points: 1 # Comments: 0

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