Prompt Engineering Marketplace

Overview

Michael is building a friendly set of tools to help people who work with AI prompts — especially those who share them for marketing or teaching — stay organized and get better results. If you’ve ever written a great prompt and wanted a simple way to improve it, keep track of changes, show it off, or share it with others, that’s exactly what this is for. It’s like having a little home for your prompts — where you can edit them, get helpful suggestions, and even build a public page to share your favorites.


Favorite Micro-SaaS Ideas

  1. Prompt Version Control System – Git-style prompt versioning with history and rollback.
  2. Prompt Template Marketplace – Share or sell community-tested prompts.
  3. Prompt Portfolio Generator – Showcase your best prompts on a public profile.
  4. Prompt Prompt Generator – A meta-tool to help you write better prompts.
  5. Live Prompt Editor with LLM Feedback – Real-time editing with inline GPT feedback.
  6. VS Code Prompt Manager – Manage and test prompts directly inside the IDE.

Use Case Flow for Image Gen Creators

1. Create or Import Prompt

  • User pastes in or writes a prompt.
  • System tracks it and stores version history.

2. Edit Prompt

  • In browser (Live Editor) or in VS Code (Prompt Manager).
  • See GPT suggestions and test outputs in real time.

3. Improve Prompt

  • Use Prompt Prompt Generator for assistance.
  • Get output feedback or track model performance.

4. Publish or Share

  • Add to a personal Prompt Portfolio Page.
  • Optionally list it on the Prompt Marketplace.

5. Track Performance

  • View usage analytics, votes, shares, or downloads.
  • Gather real-world feedback for iterations.

Specializing in Image Gen Prompts

Although OpenAI’s Sora supports text-to-video and some prompt editing features, it lacks versioning, prompt marketplaces, and in-depth metadata tagging. This leaves a gap for tools tailored to creators working on image generation prompts — a gap Michael’s toolset can fill.


Tech Stack (MVP)

  • Backend: Supabase/Postgres
  • Frontend: Next.js + shadcn/ui
  • IDE Integration: VS Code Extension
  • Optional: Stripe for monetization, CI hooks for testing