Langfuse Prompt Experiments
Open Source LLM Engineering Platform
In plain words
Langfuse is an open source platform designed for teams building LLM applications. It provides tools for tracing LLM behavior, tracking metrics, running evaluations, and managing prompts. The platform includes features like LLM-as-a-judge evaluation, dataset testing, and experiment management. Users can access Langfuse through a free cloud account or deploy it themselves.
written from the facts on this page · September 2026
From the sources
Langfuse is the #1 open source LLM engineering platform. It helps teams iterate on and improve their LLM applications: LLM tracing, metrics, llm-as-a-judge, evaluations, prompt management, datasets testing and more. Create a free account or self-host Langfuse.
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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I wasn't quite sure if this qualified as "Show HN" given you can't really download it and try it out. However, dang said[0]: > If it's hardware or something that's not so easy to try out over the internet, find a different way to show how it actually works—a video, for example, or a detailed post with photos. Hopefully I did that? Additionally, I've put code and a detailed guide for the netboot computer management setup on GitHub: https://github.com/kentonv/lanparty Anyway, if this shouldn't have been Show HN, I apologize! [0]…
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