How I built CandidateList.live with Vibe coding to solve the problem of messy election information in India
CandidateList.live was born from the need to centralize and clearly present candidate lists across India's various constituencies. We used a simple and accessible approach: a static website built with HTML, CSS, and vanilla JavaScript, optimized for fast loading and mobile device compatibility. The philosophy was to offer a clean interface that allows any user to search and filter candidates without complications.
Vibe coding helped us maintain an agile and coherent workflow during development, while Cursor AI acted as an intelligence-assisted editor to speed up logic and repetitive code patterns, enabling faster iterations and fewer errors. This combination allowed data updates and interface improvements to be implemented more quickly.
At Q2BSTUDIO we brought the necessary expertise to turn the idea into a functional product. We are a custom software and application development company offering comprehensive services in artificial intelligence, cybersecurity, and aws and azure cloud services, as well as business intelligence solutions such as power bi. Our team designs scalable solutions, from prototypes to production platforms, and combines front end and back end development expertise with security best practices and cloud deployment.
For projects requiring specific adaptations to internal processes or complex integrations, we offer custom applications and custom software services, ensuring that each solution aligns with client objectives. If the priority is leveraging automation and intelligence to optimize decisions, we work with artificial intelligence applied to businesses, AI agents, and data pipelines that improve results and efficiency.
Beyond the technical side, at CandidateList.live I paid special attention to usability: predictive searches, filters by region and party, and a clear and accessible candidate profile. All of this with a lightweight architecture designed to minimize hosting costs and maximize performance, without sacrificing security or data quality.
In summary, CandidateList.live is an example of how a simple idea can become a useful tool by combining Vibe coding, basic web technologies, and AI-based code assistants. At Q2BSTUDIO we are ready to take similar projects from conception to operation, integrating cybersecurity practices, aws and azure cloud services, power bi analytics, and AI agent development that enhance business decision-making.
If you are looking to create an information platform, an internal application, or a business intelligence-based solution, we have the experience to make it happen securely and scalably.
