PromptStation
Git-style version control and AI optimization for prompts
What it does
Git-style version control + AI optimization for prompts. • Version every edit with full diff view • AI optimization via Anthropic/OpenAI principles • Write in KO/JP/ZH → LLM-optimized English for your API • Run prompts against real LLMs • REST API for n8n, Make.com, or any automation Built for developers who treat prompts as code. Free: 20 prompts · 1,000 API calls/month · Unlimited versioning No credit card required.
Does the same job
all alternatives →- PEPrompt Engine – Auto pick LLMs based on your prompts2024 · jigsawstack.com · ▲93
Nowadays, a common AI tech stack has hundreds of different prompts running across different LLMs. Three key problems: - Choices, picking from 100s of LLMs the best LLM for that 1 prompt is gonna be challenging, you're probably not picking the most optimized LLM for a prompt you wrote. - Scaling/Upgrading, similar to choices but you want to keep consistency of your output even when models depreciate or configurations change. - Prompt management is scary, if something works, you'll never want to touch it but you should be able to without fear of everything breaking. So we launched Prompt…
- PGPromptctl – Git for your AI promptsJun 2026 · github.com · ▲5
- TOTry out the new ChatGPT API on Promptly2023 · trypromptly.com · ▲12
Hey HN Community, We're excited to announce the integration of the newly launched ChatGPT API into Promptly - a platform designed to make prompt management and sharing a breeze for developers. With Promptly, you can easily test out different prompts and model parameters for various providers, and quickly share prompt snippets together with parameters and generated output. It's like CodePen or JSFiddle, but for prompts! In addition to that, Promptly also allows you to create high-level endpoints on top of provider APIs (such as Open AI, DreamStudio, and more) with templated and versioned…
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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.
AI · 17d ago · simedw.com
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AI · 18d ago · company-app.joinastute.com
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…
AI · 27d ago · cactuscompute.com
