VC Cafe

MARCH 1, 2024

I’ve recently come across several of such lists and I thought it could be useful to aggregate them and share them here. Programmatic investing using natural language – Using natural language or decision trees, consumers with no knowledge of code can build algorithms that execute trades for them.

Artificial Inteligence 176

Artificial Inteligence Technical Review Software Review Generative AI 176

David Teten

SEPTEMBER 23, 2017

However, about 5% of the VCs in our database, mostly younger ones, are trying to build a competitive advantage by crawling large amounts of publicly available data and building analytical functions to flag companies with accelerating traction to them. Why is it now more feasible to use technology in the VC investing process?

Private Equity 60

Private Equity Venture Capital Equity Technical Review 60

Occam's Razor

JULY 12, 2010

Please click on the above image for a higher resolution version , including all the other metrics.]. I love the data you saw in the very first screenshot, and I absolutely love this… [Please click on the above image for a higher resolution version , including all the other metrics.]. Say it ain't so! :). Why is this cool?

Analytics 96

Analytics Viral Web Mobile 96

Startup Lessons Learned

JANUARY 4, 2009

Data storage is becoming a specialized function, delegated most often to relational databases. If you are storing all of your data in a relational database, and the load on that database exceeds its capacity, there is no automatic solution that allows you to simply add more hardware and scale up.

San Francisco 151

San Francisco Architecture Startup Database 151

ConversionXL

JUNE 13, 2016

In test 2 you change the Recommendation engine algorithm, such that you primarily show sale articles here. For example, optimizing product recommendations on the product page (design, placement, algorithm) does not necessarily lead to people buying anything at all. Don’t measure too many metrics.

Distribution 48

Distribution Conversion Non-Compete Revenue 48

Occam's Razor

FEBRUARY 7, 2011

But each keyword gets "credit" for other metrics. This way GA will show you both keywords while the aggregate for visits will not be skewed – as technically it is just one session. ]. What's the best way to aggregate to understand clearly how to improve? My advice would be this: 1.

Analytics 94

Analytics Web Non-Compete Metrics 94

Occam's Razor

FEBRUARY 9, 2015

. + Traffic Trends Key Metrics Analysis. Onsite Behavior Key Metrics Analysis. she will look at all her observations of other supermarkets on Earth, on other planets, and do her best to give your the best normalized, indexed, algorithm'ed number. Traffic Trends Key Metrics Analysis. Incoming and Outgoing Traffic.

Metrics 60

Metrics Analytics Non-Compete Search 60