20VC: Why Historical Loss Ratios Are Simply Too High, Why Data Is The #1 Most Important Piece When Evaluating Effective Reserve Allocation & Why Nothing Is Truly Defensible Today with Jonathan Hsu, Co-Founder and General Partner @ Tribe Capital
Posted on 17th June 2019 by hstebbings1
Jonathan Hsu is Co-Founder & General Partner @ Tribe Capital, one of Silicon Valley’s newest funds on the block being founded by Jonathan, Arjun Sethi and Ted Maidenberg. To date, Tribe has invested in the likes of Carta, Cover, Mode Analytics, Prodigy and SFOX. As for Jonathan, before founding Tribe he was a Partner @ Social Capital where he utilized data and technology to augment sourcing, evaluation of investment opportunities and the management and value add for portfolio companies. Before that he led the creation of the analytics and data science team at Facebook, including leading the hiring of 200 of the world’s leading data scientists and analysts.
1.) How Jonathan made his way from leading 200 data scientists at Facebook to the world of venture and founding his own firm in the form of Tribe Capital today?
2.) If we structure VC simplistically, there are 4 core components:
Sourcing: How does Jonathan think about the role of data in actively surfacing the best opportunities? that are the leading data fields that Jonathan would track? Why does Jonathan believe most early-stage firms are just using Linkedin Sales Navigator intelligently?
Evaluating: How does Jonathan think about the potential for data to really aid in the picking process? At what stage does this really become possible? How much data is required for data to evaluate opportunities?
Winning: Winning deals is seemingly a case of human relationships but how does Jonathan think intelligent data usage and benchmarking can actually help firms win the most competitive deals?
Value Add: How does Jonathan think about portfolio management with data? How does this differ from the more traditional “value add” that other VCs provide? Where are the common pitfalls Series A companies you work with face in not achieving product-market fit?
3.) Given the data-driven nature of the approach, does Jonathan think that there is an optimal portfolio construction? Why does Jonathan strongly believe that historical loss ratios are too high? Does data allow firms to really intelligently price these assets at the Series A and B? What are the challenges in pricing these assets so early?
4.) How does Jonathan think about reserve allocation? Why is data more critical than ever in the decision to re-invest or not? What are the leading data signals that Jonathan looks for when determining reserve allocation? Why does Jonathan think that so many firms go wrong in how they approach reserve management and distribution?
5.) Question from Henry Ward @ Carta: What does N of 1 markets mean to you Jonathan? Why are they so inherently attractive? How do pricing dynamics play out in markets that are N of 1? How does Jonathan think about defensibility when analysing opportunities today? Is anything truly defensible anymore?