Objective-Led Prompt/Context Engine
Write better prompts and engineer context for any AI models
What it does
Hey Product Hunt! 👋 PromptYI is your private context engine to bridge the gap between your intent and the AI's execution. What makes us different? • 🎯 Reduce AI hallucinations & boost accuracy — get it right in one shot • 🧠 Intelligence amplifier — unlock higher-quality outputs & stronger math reasoning • 🔀 Model-adapted prompts for 10+ AIs: GPT, Claude & more • ⚡ Turn any rough idea into a professional prompt instantly • 🦞 OpenClaw-ready • 💰 Save tokens. One round. Done. Try it today!
Does the same job
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- PAPrompt Apps – Ready-to-Use Generative AI Apps from Prompt2023 · chatgpt-prompt-apps.com · ▲16
Even if you're not a Prompt whiz, you can still get top-notch results just like the pros. This Product will handle internally handle boring And Cognitively demanding prompt Engineering. Just pick a service, fill in the keywords, and get the desired result! Open Source , Free , Privacy Friendly , Crowd Source Prompts, No Login Required. You can submit Features(https://prompt-apps.canny.io/feature-requests?sort=top) and Prompts (https://prompt-apps.canny.io/prompt-conversion?sort=top)
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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
Launched alongside, March 2026
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Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
