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Fuel Your Startup -- Cindy Chen Insight Project
- 1. “Nothing kills startups like distractions… Paradoxically, fundraising is this type of distraction, so try to minimize that.” - Paul Graham,Y Combinator FuelYour Startup Cindy Chen
- 2. Algorithm: Binary Link Prediction Data Source: CrunchBase Network Pairs 100,000+ Companies 3000+ Funding Rounds 8000+ Investors 1000+
- 3. Algorithm: Binary Link Prediction Data Source: CrunchBase Network Pairs 100,000+ Companies 3000+ Funding Rounds 8000+ Investors 1000+ Each Company Each Funding Round Invested Investors Positive Sample Negative Sample: Down Sample 10 X #of Positive Sample Cut Time Extract features before the time of the funding round X X Random Forest Classifier
- 4. Network of Companies, Investors, and People The Startup Founder Advisor Employee Competitor Investor
- 5. Network of Companies, Investors, and People The Startup Founder Advisor Employee Competitor Investor Company X CompanyY Investor A Investor B Investor C Co-work Co-invest Co-invest Invested your competitor
- 6. Location, Categories, and Funding Round The Startup Founder Advisor Employee Competitor Investor Company X CompanyY Investor A Investor B Investor C Co-work Co-invest Co-invest Invested your competitor Location Funding RoundCategories/Market
- 7. Leave-One-Company-Out CrossValidation How many total investors I need to meet until all investors who will actually invest are met? Cindy Chen Popular investors invested in the location and categories Baseline Focus on Recall MedianRecall 0.00 0.20 0.40 0.60 0.80 Number of Top Investors Chosen 0 20 40 60 80 100 120 140 160 180 Baseline Random Forest
- 8. Leave-One-Company-Out CrossValidation How many total investors I need to meet until all investors who will actually invest are met? Cindy Chen Popular investors invested in the location and categories Baseline Focus on Recall MedianRecall 0.00 0.20 0.40 0.60 0.80 Number of Top Investors Chosen 0 20 40 60 80 100 120 140 160 180 Baseline Random Forest
- 9. Cindy Chen
- 11. Algorithm Cindy Chen Features are not correlated 1. Within 1st degree: Invested previous round 2. # of paths within 2nd and 3rd degree (co-invest and co-work) 3. Within 1st degree: other 4. Invested competitors 5. Funding round match 6. Categories similarity with investors’ portfolio companies 7. Location similarity with investors’ portfolio companies