
PromptlyAI
AI writes promps. You get the result.
What it does
PROMPTLY AI turns your idea into a professional prompt in seconds. Most people get weak results from ChatGPT or Midjourney because writing good prompts is hard. Our smart wizard fixes this: describe your task → answer 5 questions → get a Senior Prompt Engineer-level result instantly. Works inside Telegram. No install needed. ✓ AI image generation in 8 styles ✓ 16 prompt categories ✓ Personal library ✓ RU + EN Free: 10 prompts + 3 images.
Does the same job
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- 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…

- IMI made a tool that helps you find and create better AI prompts faster2025 · searchpromptly.com · ▲15
Hi Everyone!! Our team is made up of passionate AI enthusiasts with backgrounds in marketing, and engineering. We’re united by a shared belief that the future of AI should be collaborative, accessible, and community-driven. With experience building consumer products and scaling platforms, we’re focused on creating a space where anyone from hobbyists to professionals can discover, organize, and share the best AI prompts and workflows. Promptly is built with a community-first mindset, where user contributions, creativity, and learning are at the heart of the experience.

Prompt ShotsJul 2026 · prompt-shots.com · ▲11Instantly scan, save and share AI prompts from your pocket
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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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Today, I’m proud to announce Homebrew 6.0.0. The most significant changes since 5.1.0 are a new tap trust security mechanism, the new faster, smaller, default internal Homebrew JSON API, sandboxing on Linux, better defaults informed by our user survey, many brew bundle improvements, improved performance and initial support for macOS 27 (Golden Gate). Happy to discuss any questions here!
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