Inspiration
Attending networking events is high-value but overwhelming — hundreds of attendees, limited time. meetrank automates the entire research and prioritization pipeline so you can walk in knowing exactly who to find.
What it does
meetrank takes a Luma event you've RSVPed to and your networking goals, then returns a ranked shortlist of the people most worth meeting. It scrapes attendee profiles from Luma, pulls their LinkedIn data, summarizes each profile, and uses a pairwise LLM ranking system to surface your top contacts — each with a one-sentence explanation of why they ranked highly.
How we built it
- Python backend paired with a mobile-friendly web frontend
- Luma API to fetch attendee lists including linked social profiles
- Bright Data LinkedIn scraper to pull structured profile data in parallel
- LLM summarization to condense verbose profiles into concise, comparable markdown
- Partial merge sort with pairwise LLM comparisons — O(A log N) comparisons instead of O(A²), using tool-calling to force deterministic picks with no tie ambiguity
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