What happened
Design engineer Sunal Sood automated his Bengaluru house hunt using an AI tool named Comet, which scanned Facebook flat and flatmate groups. Sood's system filtered listings based on detailed prompts, prioritising recent posts, removing spam, and ensuring "no brokerage" options. The AI also checked travel times to key locations and compiled contact details into tappable links, delivering a concise summary. This process yielded 20 leads, resulting in four visits and one finalised house.
Why it matters
AI's capability to automate high-volume, repetitive data aggregation and filtering tasks significantly reduces manual effort for procurement teams and platform engineers. This mechanism, demonstrated by Comet's efficiency in processing numerous listings and criteria, shifts resource allocation from manual search to evaluation. Founders and investors should recognise the potential for AI to cut operational timelines and costs in data-intensive workflows, mirroring broader AI adoption trends in India's real estate sector.
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