GO VC
AI-powered pitch deck analysis for venture capital professionals and startup founders
Overview
GO VC is a professional Telegram bot that delivers instant, personalized pitch deck analysis. Built for VCs, angels, and founders who need fast, structured feedback on investment opportunities.
Key Features
🤖 AI-Powered Analysis
DeepSeek V3 via AWS Bedrock delivers professional-grade analysis in seconds
👤 Personalized Scoring
Analysis tailored to your role, industry focus, and investment stage preferences
📊 9-Dimension Matrix
Comprehensive scoring across team, market, product, traction, and more
📄 PDF Reports
Downloadable professional reports for sharing and archiving
📝 Investment Memos
Auto-generated internal memos for investment committee review
💾 Analysis History
Track and revisit all your previous pitch deck analyses
How It Works
1. Profile Setup
Tell GO VC about your role (VC, Angel, Founder), industry focus, and preferred investment stage. This personalizes every analysis.
2. Upload Pitch Deck
Simply send a PDF pitch deck to the bot via Telegram. The bot processes and extracts key information.
3. Receive Analysis
Get instant structured feedback with:
- 9-dimension scoring (Team, Market Size, Product, Traction, Business Model, Competition, Financials, Ask, Presentation)
- Overall investment recommendation
- Key strengths and concerns
- Specific questions for founders
4. Generate Reports
Download professional PDF reports or request an internal investment memo for your team.
Technical Stack
Use Cases
- VCs: Quick first-pass analysis of incoming decks
- Angels: Structured evaluation framework for deal flow
- Founders: Get investor perspective before pitching
- Accelerators: Standardized assessment of applications
Architecture
GO VC is built on AWS serverless infrastructure for scalability and reliability. User profiles and analysis history are stored in DynamoDB, pitch decks are securely stored in S3, and all AI processing runs through AWS Bedrock with DeepSeek V3.
Status: Live and operational
Platform: Telegram
Built by: DVXLAB