The next generation in venture capital

Traditionally speaking, venture capitalists make investment decisions using "rules of thumb". Scientifically speaking, this approach is called heuristics. Heuristics is when decisions are made based on limited information relying heavily on past experiences. Today, there's more data about startups than ever. In an industry driven by data and analytics, it only makes sense to have a rational approach in investing using data, models and stochastic theoriesThis analytical way of thinking is the basis for how we invest. Read more here...


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The Fund

Our funds are formed based on a three tenets: bias-free selection, calculated deployment, and avoiding early mistakes. 

1. Cognitive biases are toxic when it comes to making investment decisions. That's why we evaluate startups for their merits in terms of technology and business. 

2. Instead of deploying capital arbitrarily from deal to deal as it's been done traditionally, we perform complex stochastic calculations to determine check sizes, re-up levels and dry powder similar to the way it's done at legendary funds such as Pimco and Berkshire Hathaway. 

3. Avoiding early mistakes is key in venture capital. Most managers deploy capital too quickly in the beginning that leaves very little room for mistakes later. This is why the term "chasing homeruns" or "seeking unicorns" are commonly heard in discussions regarding fund returns. To avoid early mistakes, we've built bias-free multi-factor selection models such as the one we used to evaluate Y-Combinator's Summer 2014 graduating class.

Here are some great reads on rational decision making:

A new breed of fund managers

We believe that hierarchical structures commonly deployed by traditional venture capital firms do not replace the dedication of the legendary founders that created the outstanding returns once enjoyed in the VC industry. We therefore aim to keep our team small, nimble, flat and well connected to the ecosystem in Silicon Valley.

Matt Oguz

Founding PARTNER

Entrepreneur & Investor. Designed big data analytics for Coca Cola, GE, Citicorp, Fortis and over 20 Fortune 500 companies

GSU (MBA), Bogazici University (BS CE), Oxford (English)

National Physics Scholar


Victoria Cheng


MBA with honors, Columbia Business School, magna cum laude from Georgetown University (BS).  

HIG Capital, New York City Seed Fund, Investor Growth Capital, Foundation Capital, and Core Innovation Capital

Kauffman Fellow

Selahattin Onen


Entrepreneur, investor, corporate leader. CEO at G101, ASYA Fruit Juice & AGE Co. 

University of Denver - BSEE
Stanford University - Business School, Exec Program for Growing Companies



Soner Kurt


Stanford GSB, Bogazici University 

FIBA Capital, Goldman Sachs

Quantitative investment expert in private equity asset class


We don't believe in the term "hot deals" but we believe in dedicated, smart, and hard working entrepreneurs who build "hot" companies. We'd much rather share the results of our analyses with peer VC firms and look for synergies than to elbow them out of deals. 

We guide our portfolio companies not with qualitative narratives but with solid concepts that apply to their businesses, such as traffic, traction and growth (read more about TTG).

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