TechEmpower

JULY 31, 2023

Next, define what you need from a metrics and reporting standpoint. Startup Metrics with Dave McClure Dave McClure has a great presentation on Startup Metrics where he points to some additional metrics that are useful to consider: A : Acquisition - Where / what channels do users come from?

Metrics 260

Metrics Startup Retention Acquisition 260

TechEmpower

JULY 24, 2023

What are your key Startup Metrics ? Analytics/Metrics What key startup metrics will you need to track? What metrics will you need for future funding rounds or operations? Are there other founders, business leaders, partners, or administrators? How will you be taking this to market? What channels will you use (e.g.,

Developer 520

Developer Technical Review CTO Hire Fractional CTO 520

TechEmpower

NOVEMBER 13, 2023

This isn’t just our opinion - our startup metrics prove it! Everyone struggles with empty text boxes. Populating them can be hard work, especially when the content needs to be just right. Even with the pop-up suggestions, we saw significant drop-off during user onboarding. Drop-off on the first page of an application is bad news.

Generative AI 295

Generative AI Artificial Inteligence Houston America 295

TechEmpower

FEBRUARY 13, 2013

Focusing on the metrics that ultimately drive the business, often the bottom line, has provided a reality check, a counter-weight to the desire to consume all new technologies. As software developers, we're technophiles, so we enjoy these cycles and quite often find humor listening to the energy spent arguing on either side of issues.

Guinea 200

Guinea Application Development Ruby Web Development 200

TechEmpower

OCTOBER 9, 2023

Precision and Recall Metrics: Define a process to assess the precision (the relevance of retrieved documents) and the recall (how many of the relevant documents were fetched). Here's a suggested approach: Ground Truth Creation: Design a test dataset with established answers or recognized documents to serve as a reference point.

Artificial Inteligence 346

Artificial Inteligence Generative AI Search Database 346

TechEmpower

JUNE 6, 2018

Not just in measured results per second (several metric crap tonne), but in number of tests measured (~1830), number of framework permutations tested (~464), number of languages included (26), and total execution time of the test suite (67 hours, or 241 billion microseconds to make that sound properly enormous). It's lost in the noise.

Framework 377

Framework Azure Caching Java 377

TechEmpower

FEBRUARY 14, 2017

It beats RegularEnumSet in all important metrics: Query speed ( contains(element) , etc.) Since all the elements are contained in one flat array with no empty spaces, conditions are ideal for iterating and for splitting (splitting efficiency is important in the context of parallel streams). Iteration speed Space consumed.

Java 330

Java API Operations Semantic 330