AgentConnect

Your startup idea → demand validation + MVP scaffold + market research + investor pitch deck. Four AI agents. Ten minutes. No fluff.

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⚡ AgentConnect: LoveHack Season 2 Submission

🌟 Inspiration

Every great startup begins with a "What if?" but most die in the "How do I?" phase. As a developer and a founder, I've seen brilliant people get paralyzed by the sheer volume of work required to validate an idea — market research, pitch decks, MVP scaffolding, and investor sourcing.

I built AgentConnect to eliminate this "Cold Start" problem. I wanted to create a tool that isn't just another AI chatbot, but a coordinated Agentic Swarm that works on your behalf while you sleep.

🧠 What I Learned

  • Agentic Orchestration: I learned how to chain multiple LLM calls where the output of one agent (Scout's research) becomes the primary context for the next (Atlas's strategy).
  • UX Simulation: I discovered that for high-latency AI tasks, the UI experience is everything. Simulating the "thought process" of agents through a terminal-style stream makes the wait feel like progress.
  • Gemini Flash Performance: I was blown away by the speed-to-intelligence ratio of Gemini 1.5 Flash, which enabled the "10-minute turnaround" vision.

🏗️ Technical Architecture & LaTeX Validation Logic

The core of AgentConnect is the Agentic Orchestration Layer. To ensure each startup report is data-driven, we use a weighted algorithm to calculate the Demand Score \( DSC \) based on signals from the Scout agent:

$$ DSC = \frac{\sum_{i=1}^{n} (S_i \times W_i)}{\text{Market Benchmark}} \times 100 $$

Where \( S_i \) represents the raw sentiment signal and \( W_i \) represents the source weight (e.g., Reddit vs. Product Hunt).

🛠️ How I Built It

  • Frontend: Next.js 16 (App Router) for a lightning-fast, SEO-optimized core.
  • Styling: Tailwind CSS 4 for a bespoke, premium dark-mode design system.
  • Animations: Framer Motion (motion/react) for glassmorphism transitions and "Live Agent" status bars.
  • AI Brain: Google Gemini 1.5 Flash API for real-time market analysis and pitch narrative generation.
  • State & Persistence: React Context + LocalStorage for a "No-Database" persistent demo experience.

🚧 Challenges I Faced

  • State Synchronicity: Keeping 5 different agents in sync during a linear 10-minute generation process was a significant state management hurdle.
  • Cost vs. Fidelity: Building a multi-agent system that generates real code and pitch decks is computationally expensive. I solved this for the hackathon by building a Simulation Engine that uses live AI for intelligence but keeps the expensive artifact generation (like full flowcharts) as a high-fidelity conceptual showcase.
  • Auth Flow: Implementing a secure-feeling AuthGuard and session management entirely on the client side to ensure the demo is portable and zero-setup for judges.

🔗 Try It Out

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