VentureForge / README_SPACE.md
Raiquia's picture
Upload 103 files
a6e70b1 verified
|
Raw
History Blame Contribute Delete
2.42 kB

A newer version of the Gradio SDK is available: 6.19.0

Upgrade
metadata
title: VentureForge - AI Startup Discovery
emoji: πŸš€
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 5.0.0
app_file: app.py
pinned: false
license: mit
tags:
  - ai-agents
  - startup-ideas
  - langgraph
  - multi-agent
  - paul-graham
  - amd-hackathon
short_description: Autonomous multi-agent system for startup idea discovery

VentureForge πŸš€

An autonomous multi-agent system that discovers startup ideas by mining real user pain points from online communities, evaluating them with Paul Graham-inspired criteria, and generating investor-ready pitch briefs.

Built for AMD AI Hackathon | Track 1: AI Agents & Agentic Workflows

Features

  • πŸ” Pain Point Mining from Hacker News, Product Hunt, and web search
  • πŸ€– 6 Specialized Agents (Orchestrator, Miner, Generator, Scorer, Writer, Critic)
  • βœ… Binary Rubric Evaluation (yes/no checks, not subjective scores)
  • πŸ”„ Reflection Loop with adversarial critique (max 3 revisions)
  • πŸ“Š Real-time Progress tracking in Gradio UI
  • 🎯 Token Optimized for vLLM 2048 token limit

How to Use

  1. Set API Keys in Space Settings β†’ Repository secrets:

    • OPENROUTER_API_KEY (required)
    • TAVILY_API_KEY (required)
    • PRODUCTHUNT_API_KEY (optional)
  2. Enter a domain (e.g., "developer tools", "healthcare", "fintech")

  3. Click "Start Discovery" and watch the agents work!

  4. View results in the tabs:

    • Pain Points (with evidence sources)
    • Ideas (generated from pain points)
    • Scored Ideas (8 binary checks)
    • Pitch Briefs (investor-ready)
    • Critiques (adversarial review)

Architecture

Orchestrator β†’ Pain Point Miner β†’ Idea Generator β†’ Scorer β†’ Pitch Writer β†’ Critic
                                                                              ↓
                                                                    (reflection loop)

Documentation

Performance

  • Duration: ~2 minutes per domain
  • Token Optimized: One-at-a-time generation + compressed prompts
  • Reliable: 0 JSON failures on all domains (healthcare, developer tools, finance)

License

MIT License - see LICENSE file for details


Built with ❀️ for AMD AI Hackathon