Open post Make It Real

Exploring the Capabilities of “Make It Real” by tldraw

A recent development in the field of software design and development involves tldraw's new feature, "Make It Real." This tool, incorporating OpenAI's GPT-4V API, offers the ability to convert vector drawings into functioning software code, specifically using Tailwind CSS and JavaScript. Technical Overview of "Make It Real" "Make It Real" operates by interpreting vector-based sketches...

Open post Discovery Phase

What Is the Discovery Phase? And why should I pay for it?

The discovery phase is a process of collecting and analysing information about the project. It precedes the development process and allows getting a well-rounded and comprehensive understanding of goals, scope, and possible limitations. The discovery phase (or stage), is where you study the target market, determine your product-market fit, and gather all project requirements. People...

Open post Availability heuristic

Availability Heuristic and Representativeness Bias: How to deal with it as Developer

Availability heuristic was first introduced in 1973 by psychologists Amos Tversky and Daniel Kahneman in the paper titled “Availability: A Heuristic for Judging Frequency and Probability.” Tversky and Kahneman explain that the availability heuristic is a product of human nature to rely on information that is readily available—information that is easily recalled from memory. The...

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How much does an app cost?

The answer is of course: “it depends”. This is certainly way too vague from a business perspective. To give you a ballpark estimation what app can cost, here’s a list of famous startups that got seed money to implement their ideas with apps: Uber: $200.000 Instagram: $500.000 Tinder: $485.000 Postmates: $750.000 Snap: 485.000$ Note that...

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Artificial intelligence, algorithmic pricing, and collusion | VOX, CEPR Policy Portal

Researchers Emilio Calvano, Giacomo Calzolari, Vincenzo Denicolò, Sergio Pastorello of the University of Bologna in Italy conducted an experiment where they let loose two simple reinforcement-learning-based pricing algorithms in a controlled environment. They learned that the these two completely autonomous algorithms actually responded to their mutual behavior.  Together, they started quickly to pull up the...

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