Inspiration — the scattered HR data problem, the "person occupies a role at a point in time" insight
What it does — all 5 views, key features, universal CSV importer
How we built it — data pipeline, connection engine (with LaTeX math), org hierarchy reconstruction, date parsing
Challenges we ran into — universal CSV support, org hierarchy from flat rosters, date ambiguity, synthesising role events, staying dependency-free
Accomplishments that we're proud of — the Connected View, any-CSV-just-works, zero dependencies, visible data gaps, timeline scrubber
What we learned— auto-detection as UX, data is messy, surface don't hide, constraints breed creativity
What's next— multi-dataset merge, export, anomaly detection, multi-department comparison, API integration, mobile
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