CASE STUDY · 09 / 09

Slashscore AI

While one can argue that two developers can be extremely similar, Slashscore means to bring to light exactly the unique aspects of each of them. When not working exclusively on private projects, software engineers leave a digital footprint that can be quantified. By measuring this digital footprint, they can get an idea of areas where they shine, as well as discover fields that could use improvement. Ultimately, Slashscore can help them land better jobs.

Challenge

To find a fair system that can be: Measurable in a meaningful way and Applicable to ALL developers in general (especially considering how much work can vary).

Solution

A self-assessment tool that uses machine learning to analyze and combine activity statistics from multiple relevant & undisputable sources. With the help of ML, we found patterns that are generating fair scores based on people's effort on the projects they are working on. The platform is built using the latest technology tech stack, which includes React and NodeJS. Also and it uses a flexible serverless architecture that enables Slashscore to easily adapt to the complexity of all possible integrations.