Chance

Chance

Odborná príprava, SocialTech / GreenTech, Umelá inteligencia / Machine Learning

Paris

Technologies and tools

  • Backend

    • Node.js

      Node.js

      100%
    • Redis

      Redis

      100%
    • PostgreSQL

      PostgreSQL

      100%
    • RabbitMQ

      RabbitMQ

      100%
    • GraphQL

      GraphQL

      100%
    • Nest JS

      Nest JS

      85%
  • Frontend

    • React JS

      React JS

      100%
    • Material UI

      Material UI

      100%
    • Next.js

      Next.js

      100%
    • TypeScript

      TypeScript

      100%
    • Styled Components

      Styled Components

      100%
    • Storybook

      Storybook

      100%
  • Devops

    • GitHub

      GitHub

      100%
    • Kubernetes

      Kubernetes

      100%
    • Terraform

      Terraform

      100%
    • AWS

      AWS

      100%

Organization and methodologies

Chance

We use agile methodologies to promote the autonomy and impact of our teams. Each team is built around different domains, with OKRs defined by quarter. We aim to make each team autonomous and empowered in its field, which fosters in-depth expertise, rapid decision-making and significant impact.

We use methods such as Scrum or Kanban according to specific needs, and every two weeks, teams present their achievements to the whole company, promoting transparency and collaboration at all levels.

At Chance, we're proud of our agile culture and our commitment to autonomy, collaboration and tangible results.

Projects and tech challenges

Chance

Our goal is to provide our users with a wide range of tools to support them throughout their professional lives.

We are committed to maintaining overall consistency in new product development, while ensuring that our technology stack remains scalable and that our level of technical and functional debt is kept to a minimum. This ensures that we can continue to deliver high-quality products efficiently and respond proactively to our users' demands.

Another major challenge we face is the integration of artificial intelligence into our solutions. We're looking to harness the potential of AI to improve the user experience, the relevance of recommendations and the efficiency of our tools. This requires a considered approach to ensure data quality, model robustness and consistency of results.