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Stack Presets

Web App / Dashboard

  • When to use it: you need interactive UI plus a visible demo
  • Suggested technologies: React, Vite, simple component library, lightweight API or mock data
  • Why it fits: fast to demo, easy to show value, flexible for many ideas
  • Risks or setup concerns: UI polish can eat time; avoid complex auth
  • Suggested Codex prompt:
Generate a minimal web dashboard starter for this hackathon idea using a lightweight modern stack. Keep the structure small, setup easy, and the first demo path obvious.

Full-Stack App

  • When to use it: you need both UI and real backend behavior
  • Suggested technologies: Next.js or React + small API, SQLite or in-memory storage
  • Why it fits: covers end-to-end flows without too much infrastructure
  • Risks or setup concerns: avoid background jobs and multi-service sprawl
  • Suggested Codex prompt:
Generate a minimal full-stack starter with one clear end-to-end flow, simple storage, and easy local setup.

Data App / BI Dashboard

  • When to use it: the value is insight, metrics, or summarization
  • Suggested technologies: Python, Streamlit or notebook, pandas, CSV/mock data
  • Why it fits: very fast path to demoable outputs
  • Risks or setup concerns: avoid overbuilding ETL and data pipelines
  • Suggested Codex prompt:
Create a small data app starter focused on loading sample data, computing useful metrics, and presenting the result in a demo-friendly UI.

CLI Tool

  • When to use it: the value is automation, workflows, or developer productivity
  • Suggested technologies: Python or Node.js CLI, simple config, local files
  • Why it fits: low setup, fast iteration, easy to keep local-first
  • Risks or setup concerns: less visually impressive unless paired with clear output
  • Suggested Codex prompt:
Generate a minimal CLI tool starter for this workflow idea with clean commands, helpful output, and testable structure.

Agent Workflow

  • When to use it: the core value is orchestration, delegation, or multi-step reasoning
  • Suggested technologies: Python or TypeScript, small workflow engine, local mocks, optional LLM API
  • Why it fits: strong match for AI-native themes
  • Risks or setup concerns: agent sprawl and vague success criteria
  • Suggested Codex prompt:
Create a minimal agent workflow prototype with clear stages, explicit handoffs, and observable outputs. Prefer local mocks unless external services are necessary.

Evaluation Framework

  • When to use it: the challenge is comparing outputs, prompts, models, or policies
  • Suggested technologies: Python, notebooks or scripts, CSV/JSON datasets, simple scoring
  • Why it fits: measurable and review-friendly
  • Risks or setup concerns: keep evaluation dimensions narrow
  • Suggested Codex prompt:
Generate a small evaluation framework starter with sample data, explicit metrics, and a reproducible local run flow.

Developer Tooling

  • When to use it: the product helps engineers work faster or safer
  • Suggested technologies: CLI, VS Code extension prototype, git-based tooling, lightweight web UI if needed
  • Why it fits: great fit for technical participants and demo audiences
  • Risks or setup concerns: integrations can be fragile; mock external systems early
  • Suggested Codex prompt:
Create a minimal developer-tool prototype around this workflow with one polished core scenario and light dependencies.

Computer Vision / Multimodal Prototype

  • When to use it: the idea depends on images, OCR, or multimodal reasoning
  • Suggested technologies: Python, notebook or small app, image samples, optional hosted model API
  • Why it fits: strong visual demos and clear AI value
  • Risks or setup concerns: model/API reliability and large sample handling
  • Suggested Codex prompt:
Generate a compact multimodal prototype that works on a few prepared sample inputs and surfaces the output clearly. Optimize for reliability over scale.

Event Streaming Prototype

  • When to use it: the product reacts to a stream of messages or events
  • Suggested technologies: small consumer service, mocked broker or local event file replay, simple dashboard/log output
  • Why it fits: good for operational or analytics ideas
  • Risks or setup concerns: live infra setup can consume the day
  • Suggested Codex prompt:
Create a minimal event-driven prototype with a local or mocked event source, one processing path, and a clear output view.

Local LLM / Ollama Prototype

  • When to use it: privacy, offline behavior, or local-first AI matters
  • Suggested technologies: Ollama, Python or Node.js wrapper, local UI or CLI
  • Why it fits: strong local-first story and fewer external dependencies
  • Risks or setup concerns: model download/setup time and machine constraints
  • Suggested Codex prompt:
Generate a minimal local-LLM prototype designed for Ollama with graceful fallback behavior and a small demo surface.

2D Browser Game Or Interactive Demo

  • When to use it: the idea benefits from playful interaction or narrative
  • Suggested technologies: Phaser, Vite, lightweight assets, local state
  • Why it fits: memorable demos and clear engagement
  • Risks or setup concerns: art and gameplay scope can explode quickly
  • Suggested Codex prompt:
Create a tiny 2D browser demo with one core mechanic, fast local setup, and simple placeholder assets so the team can focus on the main concept.