Lightdash Lightdash: BI as code for the modern data team Ideally, most development time building a data model should be spent actually building the data models that can be used to deliver insights to the business, which is where Lightdash come in.
Data Stack More needles, bigger haystacks: What we mean when we talk about data-driven VC Finding the right deals in VC is a daily game of finding a needle in a haystack – or, more accurately, a lot of needles in a lot of haystacks.
Language Learning Maths with words: The power of large language models in VC Large language models grab headlines for their ability to generate text and images, but these kinds of deep learning models can also be powerful tools for VCs.
Data Stack Double Scoop: Exciting Updates and Building the machine for data-driven investing Behind our philosophy is an ambition to strive for technological greatness, and here at Moonfire, we are doing things that no other VC is right now. And we want to lift the hood, starting with our team...
Data Stack Bringing Decision Makers Back to the Data Stack Decision-making is one of the most important mechanisms a business needs, and if it's done right, it can be a massive boon for companies, which is why we need decision-makers in the data stack.
