Founder Dashboard

• Best mentor matches
• Best investor matches
• Skill gaps
• Suggested advisors
• Recommended next actions

Mentor Dashboard

• Founders needing their expertise
• Potential advisory opportunities
• Cohort impact metrics 

Investor Dashboard

• Highest-fit startups
• Trending sectors
• AI-generated investment summaries
• Risk indicators

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SAMPLE MATCHING LOGICFounder ↔ Mentor ExampleFounder Needs:

• Fundraising = 5
• Enterprise Sales = 4
• AI Architecture = 3

Mentor Strengths:

• Fundraising = 5
• Enterprise Sales = 5
• AI Architecture = 4

Result:

• Strong Match Score = 92%

Founder ↔ Investor ExampleFounder:

• AI SaaS startup
• Enterprise B2B
• Early revenue stage

Investor Preferences:

• AI-native companies
• B2B SaaS
• Seed stage
• Enterprise software focus

Result:

• Investment Match Score = 88%

AIFAQ :

• Generate “Top 5 Recommended Mentors”
• Predict successful founder/mentor compatibility
• Recommend investors based on historical investment patterns
• Identify missing skills inside startup teams
• Detect ecosystem expertise gaps
• Build dynamic relationship maps
• Recommend advisory board members
• Create founder peer groups automatically

Matching Questionnaire:

PART 1
Identity & Background
    Full Name
    Preferred Contact Email
    LinkedIn URL
    Geographic Location:

 Current Role:  Choose as many as necessary
    1. Founder 2. Mentor 3. Investor 4. Advisor 5. Operator 6. Technical Expert 7.  Other

 Industry Experience (Select all that apply)
    1. AI / Machine Learning 2.  SaaS 3. FinTech 4. Health-Tech 5. Blockchain / Web3 6. Cybersecurity 7. Enterprise Software 8.  Consumer Apps 9. Marketplaces 10. 11. Deep Tech 12. Climate-Tech 13.  EdTech 14. Bio-Tech 15. Other

Years of Experience
    1.)  0–2 2.) 3–5  3.)  6–10 4.) 10–20 5.) 20+

PART 2
SKILLS & EXPERTISE

Expertise Rating (1–5) Rate your experience level in the following:  Skill Area Rating (1-5)
Product Development
AI / LLMs
Engineering
UX/UI Design
Marketing
Sales
Fundraising
Investor Relations
Legal / Compliance
Operations
Hiring & Recruiting
Go-To-Market Strategy
Enterprise Sales
Partnerships
Financial Modeling
Pitch Development
Community Building
Blockchain / Web3
Data Analytics
Leadership

PART 3
WORKING STYLE & PREFERENCES: What type of support are you MOST interested in?
Collaboration Preferences:
Strategic guidance:
Technical guidance:
Fundraising support:
Customer introductions:
Hiring help:
Product feedback:
Co-founder matching:
Partnership opportunities:
Investor access:
Preferred Interaction Style:
Weekly meetings / Monthly meetings:
Async messaging:
Office hours:
Hands-on collaboration:
Advisory only:
Preferred Startup Stage:
Idea, MVP,Early Revenue, Growth Stage, Scale-Up, Time Available Per Month <2 hours 2–5 hours 5–10 hours 10+ hours
Preferred Company Types:
B2B, B2C ,Enterprise, Consumer, Open Source, Social Impact, Deep Tech, Web3, AI