INVESTMENT PROFILE1. What type of investor are you?
Multiple Choice
- Angel Investor
- Venture Capitalist
- Family Office
- Accelerator
- Syndicate Lead
- Corporate Venture
- Strategic Investor
- Operator Investor
- Other
2. What stages do you typically invest in?
Checkboxes
- Idea Stage
- Pre-Seed
- Seed
- Series A
- Series B+
- Growth Stage
3. What industries are you MOST interested in?
Checkboxes
- AI / Machine Learning
- Enterprise SaaS
- Web3 / Blockchain
- FinTech
- HealthTech
- Deep Tech
- ClimateTech
- Cybersecurity
- Robotics
- Consumer Apps
- Creator Economy
- Marketplaces
- Developer Tools
- Data Infrastructure
- Other
4. Typical initial investment size
Multiple Choice
- <$10K
- $10K–$25K
- $25K–$50K
- $50K–$100K
- $100K–$250K
- $250K+
5. Geographic preferences
Checkboxes
- North America
- Europe
- Latin America
- Africa
- Middle East
- Asia
- Remote-first only
- No preference
SECTION B — FOUNDER PREFERENCES6. Which founder traits matter MOST to you?
Checkbox Grid or Ranking
Traits:
- Technical ability
- Sales ability
- Domain expertise
- Resilience
- Coachability
- Communication skills
- Execution speed
- Leadership
- Vision
- Industry relationships
- Previous startup experience
7. What are your biggest “green flags” in INVESTMENT PROFILE1. What type of investor are you?
Multiple Choice
- Angel Investor
- Venture Capitalist
- Family Office
- Accelerator
- Syndicate Lead
- Corporate Venture
- Strategic Investor
- Operator Investor
- Other
2. What stages do you typically invest in?
Checkboxes
- Idea Stage
- Pre-Seed
- Seed
- Series A
- Series B+
- Growth Stage
3. What industries are you MOST interested in?
Checkboxes
- AI / Machine Learning
- Enterprise SaaS
- Web3 / Blockchain
- FinTech
- HealthTech
- Deep Tech
- ClimateTech
- Cybersecurity
- Robotics
- Consumer Apps
- Creator Economy
- Marketplaces
- Developer Tools
- Data Infrastructure
- Other
4. Typical initial investment size
Multiple Choice
- <$10K
- $10K–$25K
- $25K–$50K
- $50K–$100K
- $100K–$250K
- $250K+
5. Geographic preferences
Checkboxes
- North America
- Europe
- Latin America
- Africa
- Middle East
- Asia
- Remote-first only
- No preference
SECTION B — FOUNDER PREFERENCES
6. Which founder traits matter MOST to you?
Checkbox Grid or Ranking
Traits:
- Technical ability
- Sales ability
- Domain expertise
- Resilience
- Coachability
- Communication skills
- Execution speed
- Leadership
- Vision
- Industry relationships
- Previous startup experience
7. What are your biggest “green flags” in startups?
Paragraph
Example prompts:
- Strong technical founder
- Revenue traction
- Clear market pain
- Unique data advantage
- Fast iteration speed
8. What are your biggest “red flags”?
Paragraph
Example prompts:
- Weak execution
- Founder conflict
- No customer validation
- Lack of focus
- Unrealistic projections
9. How important are the following when evaluating startups?
Multiple Choice Grid (1–5)
Criteria12345Technical moat
AI capability
Revenue traction
Founder chemistry
Market size
Speed of execution
Product quality
Social impact
Enterprise readiness
IP / defensibility
SECTION C — VALUE-ADD CAPABILITIES
10. Beyond capital, how do you typically help founders?
Checkboxes
- Strategic mentoring
- Fundraising guidance
- Recruiting
- Sales introductions
- Enterprise partnerships
- Product strategy
- Technical architecture
- Marketing / PR
- Operations
- Legal / compliance
- AI strategy
- Board participation
11. How active are you with portfolio companies?
Multiple Choice
- Highly involved
- Moderately involved
- Available when needed
- Mostly passive
12. How many founder meetings do you typically take per month?
Multiple Choice
- 1–5
- 5–10
- 10–20
- 20+
SECTION D — AI & EMERGING TECHNOLOGY
13. What is your perspective on AI-native startups?
Multiple Choice
- Primary investment focus
- Strong interest
- Opportunistic
- Limited interest
- Not interested
14. Which AI areas are most compelling
: Checkboxes
- AI agents
- Enterprise AI
- Multi-agent systems
- AI infrastructure
- AI governance
- AI developer tools
- Healthcare AI
- AI for education
- Generative media
- Autonomous systems
15. Do you believe proprietary data is becoming a competitive moat?
Linear Scale (1–5)
Example prompts:
- Strong technical founder
- Revenue traction
- Clear market pain
- Unique data advantage
- Fast iteration speed
8. What are your biggest “red flags”?
Paragraph
Example prompts:
- Weak execution
- Founder conflict
- No customer validation
- Lack of focus
- Unrealistic projections
9. How important are the following when evaluating startups?
Multiple Choice Grid (1–5)
Criteria 1 2 3 4 5 Technical moat
AI capability
Revenue traction
Founder chemistry
Market size
Speed of execution
Product quality
Social impact
Enterprise readiness
IP / defensibility
SECTION C — VALUE-ADD CAPABILITIES10. Beyond capital, how do you typically help founders?Type: Checkboxes
- Strategic mentoring
- Fundraising guidance
- Recruiting
- Sales introductions
- Enterprise partnerships
- Product strategy
- Technical architecture
- Marketing / PR
- Operations
- Legal / compliance
- AI strategy
- Board participation
11. How active are you with portfolio companies?
Multiple Choice
- Highly involved
- Moderately involved
- Available when needed
- Mostly passive
12. How many founder meetings do you typically take per month?
Multiple Choice
- 1–5
- 5–10
- 10–20
- 20+
SECTION D — AI & EMERGING TECHNOLOGY13. What is your perspective on AI-native startups?
Multiple Choice
- Primary investment focus
- Strong interest
- Opportunistic
- Limited interest
- Not interested
14. Which AI areas are most compelling?Type: Checkboxes
- AI agents
- Enterprise AI
- Multi-agent systems
- AI infrastructure
- AI governance
- AI developer tools
- Healthcare AI
- AI for education
- Generative media
- Autonomous systems
15. Do you believe proprietary data is becoming a competitive moat?
Linear Scale (1–5)