Prompted
A social feed where people post their vibe-coded creations
What it does
On Prompted, the prompt is the point. In most places, people share AI projects; you see the result, and that's it. Cool app, nice image, whatever it may be, but you're left guessing how they actually made it. On Prompted, every post includes the prompt and workflow. So you're not just scrolling, you're learning. You can see a project, steal the prompt, tweak it, and build your own version. Basically: less "look what I made" and more "here's exactly how I made it so you can too."
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- ASA social media network where users share prompts instead of posts2025 · 2fjxieoiipm32.mocha.app · ▲10
Social media these days feels like swimming through a feed of AI generated slop rather than actual human thoughts. Sometimes I wonder what the prompts behind the posts are. I bet there's more creativity going into the prompts than the final content that actually gets shared. What if people just shared their prompts, and the completion was rendered on-demand, client side? Disclaimer: This is a vibe coded proof-of-concept, not a functional service, built in the no-code builder Mocha. It's seeded with a few fake posts. You can create your own posts but they're just saved locally on your own…
- 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.
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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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