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Cover image for Corme: The AI Workspace to Realistically Validate Ideas and Export MVPs
Sayed Anower
Sayed Anower

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Corme: The AI Workspace to Realistically Validate Ideas and Export MVPs

DEV Weekend Challenge: Passion Edition Submission

This is a submission for the Weekend Challenge: Passion Edition.

πŸ’‘ The Inspiration

Every developer knows the cycle: a spark of passion hits at midnight, and instead of validating the core idea, you spend the weekend configuring infrastructure, picking a tech stack, and buying premium domainsβ€”only to abandon the repository a week later.
Corme was built to break this cycle. It channels that raw creative energy into an immediate reality check, helping builders validate their passion projects before writing a single line of boilerplate code.

πŸš€ Project Overview

Corme is an AI-powered diagnostic workspace that gives you a realistic evaluation of your side-project concepts. Instead of generic encouragement, it provides a structured, objective, and tech-focused breakdown of your ideas.

πŸ”— Live Demo & Code

Key Features

  • πŸ“Š Passion vs. Feasibility Matrix: Visualizes implementation complexity against the long-term willpower required to sustain it.
  • βš”οΈ Competitor Reality Grid: Maps actual market alternatives alongside a defined 10x Differentiation Angle.
  • πŸ—οΈ Technical Blueprint: Generates a lightweight, pragmatic tech stack and an estimated MVP delivery timeline.
  • πŸ’° Lean Growth Roadmap: Outlines viable monetization models and a 3-phase execution strategy starting with a landing page smoke-test. Screenshots:

πŸ› οΈ Architecture & Tech Stack

  • Frontend: React (Vite) styled with Tailwind CSS, utilizing Space Grotesk for headers and JetBrains Mono for data layouts to deliver a refined "developer canvas" aesthetic.
  • Backend: Express (Node.js) acting as a secure proxy to manage API runtimes and shield environment credentials.
  • AI Engine (Google AI Partner Category): Leverages the official @google/genai SDK. By utilizing strict JSON schema parameters, the application forces the Gemini model to return highly predictable, type-safe data structures that cleanly map directly to the frontend state.

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Sayed Anower

It'll analyze your idea, give results with a full roadmap.
Write your idea, budget, target audience etc.