
This use case addresses the challenge of efficiently locating property sellers within a specific price range. Manus enabled precise filtering and rapid identification of relevant sellers, resulting in a streamlined lead generation process and improved targeting accuracy.

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.

Organizations struggle to monitor dynamic conditions across a geographic area. Manus processed diverse data streams to generate an interactive heatmap of real-time congestion. This provided immediate visual insights for operational planning and resource allocation.