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startup-projects

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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startup-projects

Show HN: Cerea – yet another self-hosted LLM chat front end

Here is Cerea, a self-hostable, open-source (Apache 2.0) chat+agent frontend for LLMs. It works alone with any OpenAI-compatible inference provider, but it's way better when coupled with the model gateway I'm also developing, Pystino (https://github.com/paoloviviani/Pystino).I came to this after struggling to find a hosted chat interface that was truly open source, that I really enjoyed to use, and that was simple enough to be shared and used by family. In particular, I was looking for something that could provide the smooth and integrated user experience of commercial products for the tasks needed by family (e.g., document editing, form filling, notes and knowledge management), but backed by open models hosted wherever I decide.Then it became richer, now supporting: remote coding agents (wrapping Opencode), delegation and coordination between agents, integration between chat/projects and code agents (this one to me is a pain point for Claude, which I use at work), projects, RAG, rich artifacts support, schedules, and more.You can try it yourself, either cloning the full repo and head to Cerea/kit, or just the deploy kit with a script (https://github.com/paoloviviani/Cerea#quick-start).It's just a docker compose with a ./configure script that helps to generate a sensible .env for the specific scenario. It works in the browser and as a PWA on mobile.I hope you'll enjoy, feel free to reach out for questions. Comments URL: https://news.ycombinator.com/item?id=50384502 Points: 1 # Comments: 0

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model-evals

Nace AI, AI 에이전트 검색을 위한 Drex 출시: BrowseComp-Plus에서 92.05%, 검색 호출 수는 12.6회

Nace AI는 Drex for Search를 출시하며, 자사의 Drex 의사결정 모델을 AI 에이전트의 문서 검색에 적용했습니다. Nace는 BrowseComp-Plus에서 12.6회의 검색 호출로 92.05%의 성과를 기록했으며, OfficeQA Pro에서는 에이전트의 전환 횟수가 더 적었습니다. 이 글은 MarkTechPost에 처음 게재되었습니다.

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