Venture Scout

Evaluate your startup ideas quickly using Perplexity.

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Inspiration

Venture Scout was born out of my own struggles, I come up with several startup ideas but lacked a framework to evaluate them.

Although many startup resources are available, it is all fragmented. I wanted to build a one stop solution that democratizes startup wisdom from legends while leveraging Perplexity's real-time search APIs to deliver actionable, data-driven market insights.

Venture Scout is designed to be the one-stop solution for aspiring entrepreneurs to evaluate and launch their ventures with confidence.

What it does

Venture Scout empowers founders with a suite of tools to navigate the crucial early stages of idea validation and business planning. Users can simply input a new startup idea and obtain:

  • Market Size
  • Risk Profile
  • Idea Score
  • Competitors
  • Industry Overview

  • Next Steps

  • Generate Business Model Canvas using Sonar Deep Research: Founders can generate a detailed business plan with their one line idea. PDF export has also been implemented for easy sharing.

  • Startup Wisdom from Naval Ravikant and Paul Graham: Underneath Venture Scout users a simple keyword based search with 150+ PG essays and curated Naval Ravikant content allowing users to ask specific questions like "/ask naval fundraising" or "/ask paul startup ideas"

  • YC Company Database: Browse and search through thousands of Y Combinator companies to understand market landscapes and find inspiration

How we built it

I'm not a developer. I essentially vibe coded the entire application after carefully thinking through the user flow (vibing was way harder than I anticipated!). The tech stack includes:

  • Frontend: React with TypeScript, Vite, and Tailwind CSS for a modern, responsive UI
  • AI Integration: Perplexity API for real-time market research and OpenAI for knowledge base embeddings
  • Knowledge System: Custom RAG implementation that processes and searches through startup wisdom
  • Data Sources: Y Combinator company database, Paul Graham essays, Naval Ravikant content

Challenges we ran into

  • Output Parsing: Getting consistent, structured responses was definitely a challenge especially with deep research and other thinking models. It required extensive prompt engineering and testing to ensure the output aligned with what I wanted.
  • Vibe-coding: Vibe coding was not really a vibe! This was my first time building an app from scratch using AI - it took a look of thought and detailed prompting to ensure the implementation aligned with what I wanted.
  • Data-sources: Although there's quite a bit of information available around startups and building, incorporating it reliably into the application proved to be difficult. I initially wanted to have a complete database of companies but most API options were expensive and I had to rely on an open source YC startup directory to narrow the scope.

Accomplishments that we're proud of

  • Successfully building a functional web application end-to-end as a first-time, non-technical founder, from ideation and design to AI integration and deployment.

  • Creating a tool that directly addresses a personal pain point and has the potential to help many other aspiring entrepreneurs.

  • Gaining practical experience with AI-driven development tools and methodologies, which has instilled immense confidence in my ability to build and iterate on complex applications.

What we learned

  • Best Practices in AI-Assisted Development: Mastered effective prompting techniques and iterative workflows for "vibe coding."

  • Leveraging Real-Time APIs: Gained proficiency in utilizing Perplexity's Sonar APIs for dynamic market analysis and insight generation.

  • Modern Tech Architecture Fundamentals: Developed a practical understanding of RAG systems, API integration, responsive UI/UX design, and the components of a modern web application.

What's next for Venture Scout

Although venture scout is in its bare bones version there is quite a bit of room to improve and turn it into a power packed application for early stage startup founders:

  • Voice Integration: More personal conversations with a startup mentor AI.
  • User Authentication and Memory: Ensure persistence of ideas and maintain a database of their ideas.
  • Improved Knowledge Base: Expand content to include more advice, case studies and industry specific guidance.
  • AI tool calling: Integrate advanced capabilities like automated pitch deck creation, landing page builders, and financial modeling
  • Enhanced API Integration: Connect with Crunchbase, PitchBook, and other databases for richer company and market data

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