Inspiration
Angelview was born out of a desire to streamline and enhance the startup evaluation process for investors and incubators. We noticed that scouting early-stage startups often involved fragmented tools and manual research. Our goal was to create a unified, intelligent platform that leverages AI to analyze, organize, and present startup data in a clean, insightful way.
What it does
Angelview allows investors to:
View and manage startup pitch decks, profiles, and metrics Analyze startup performance using AI-generated insights Shortlist promising candidates for funding rounds Collaborate with team members using shared notes and filters Automate data collection from form submissions and linked sources
How we built it
We used the following technologies and architecture:
Frontend: React with Next.js, TailwindCSS for UI, and Framer Motion for seamless animations
Backend: Node.js with Express, PostgreSQL, Prisma ORM
AI Layer: OpenAI APIs for pitch summarization and scoring
Storage: AWS S3 for file uploads and backups
Authentication: Auth0 integration with JWT
Deployment: Vercel (Frontend) + Render (Backend APIs)
Challenges we ran into
Fine-tuning AI prompts to produce relevant and context-aware startup summaries
Ensuring data privacy and access control in multi-user workspaces
Maintaining smooth performance while handling large pitch decks and documents
Designing a scalable system for form intake and lead scoring pipelines
Accomplishments that we're proud of
Built a functional MVP in under 3 weeks
Created an intuitive investor dashboard with dynamic filters and analytics
Successfully integrated GPT-based evaluations into startup pitch reviews
Designed a modular and extendable architecture for future AI features
What we learned
Importance of UI/UX clarity in investor-focused tools
How to orchestrate multiple services (AI, storage, database) efficiently
Strategies to apply LLMs for structured business analysis
Managing user trust when working with sensitive funding data
What's next for Angelview
Adding collaborative investment decision workflows
Integrating with AngelList and Crunchbase APIs
Building startup recommendation models using past investor preferences
Launching a freemium model with pro analytics
Built With
- bolt.new
- javascript
- mongodb
- next.js
- postgresql
- react
- reactnative
- typescript

Log in or sign up for Devpost to join the conversation.