Geometry First
v1 prioritizes point + radius for predictable, fast API queries.
Default radii: 150m (block-ish) and 400m (nearby).
Methodology
The brief is designed to be useful in about 10 seconds and transparent in under a minute. This page shows the exact logic behind each module, where fallback matching is used, and how severity labels are assigned.
v1 prioritizes point + radius for predictable, fast API queries.
Default radii: 150m (block-ish) and 400m (nearby).
Every module includes Low/Medium/High plus threshold copy and impact framing.
No hidden scoring model.
Dataset failures degrade a module, not the whole page.
Partial rendering + per-dataset caching.
Use these controls to see how scoring, locality filtering, and data scope work behind the scenes.
Adjust radius to see how much area each query can cover.
Approx area: 0.50 km² (7.1x of 150m baseline)
Preview the impact sentence and severity chip logic for each module.
No active disruption signals.
Low severity. No immediate disruption signal. Typical travel and curb access conditions are likely right now.
Low: 0 active disruptions. Medium: 1-2. High: 3+.
Simulate how event rows are ranked to avoid borough-wide noise.
Score: 5 (High relevance)
Search datasets and filter by module to inspect source coverage quickly.
Live app: whats-happening-on-my-block.vercel.app