
This use case addresses the challenge of manually compiling detailed company and executive data from spreadsheets. Manus facilitated automation and accurate extraction of relevant information, resulting in streamlined data organization and improved efficiency.

This project addressed the challenge of understanding complex simulated data by enabling users to interactively explore and visualize large datasets. The portal lets people query a large database of AI-generated personas and visualize simulated public opinion across demographics and geography. Manus reviewed the uploaded spec, architected the full-stack application, built interactive features including map visualization, sentiment charts, streaming responses, query history, and CSV export, then deployed the finished tool as a live website.

A property buyer needed a way to evaluate and compare all 23 HDB BTO projects launched in Singapore since January 2025, including unit views, sun exposure, pricing, and walkability to nearby amenities. Manus researched each project from official brochures, built a config-driven 3D viewer with satellite views, sun path analysis, walking distance calculations, price-per-sqm comparisons, and a map-based project selector, delivering a universal tool that works across all projects with seamless switching.

Users needed a comprehensive platform to search, filter, and evaluate schools across multiple complex criteria, so Manus engineered a full-stack web application based on a government-provided school dataset. The final product delivered an interactive map featuring a side-by-side comparison interface for up to three schools and an integrated AI chatbot to help users seamlessly navigate the extensive dataset.

Organizations struggle to efficiently identify suitable social media influencers for brand campaigns. Manus automated the research and vetting process, quickly surfacing a curated list of relevant profiles via Instagram Creator Marketplace connector. This enabled the rapid development of targeted branding strategies.