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CLUSTER FLOOD-DATA-WEB · 23 ENTRIES · EARLIEST ENTRY 2026-08-19

Flood risk prediction dashboards

These are web platforms that predict or map urban flood risk from weather and environmental data, with features like real-time street-level alerts and safer route suggestions. The cluster's dated history is too thin to read a shape from — it predates the index or its members are undated. The most active members by traction signal are Predicting-El-Nino-Intensity-Climate-Vulnerability-in-Kenya-A-Time-Series-and-Spatial-Risk-Analysis, disasterguard, and Floodcast, each with 0 stars.

Entry timeline

ENTRY TIMELINE

DEC 2025: 1FEB 2026: 1AUG 2026: 8SEP 2026: 11OCT 2026: 2
DEC 2025OCT 2026

Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.

Members by activity

Activity signals, not revenue.

Build origin · 1 ai-built · 2 unlabelled

Operator · 1 hobby · 1 commercial · 1 unlabelled

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 3 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 21Weather Shield0★unknownlivehobbyPlatform that monitors weather conditions and evaluates associated risks to support safety and planning decisions.
  2. 22Climate & Environmental Risk Analytics0★unknownlivecommercialWeb application for businesses that provides climate and environmental risk analytics, enabling users to assess physical and transition risks and make informed decisions.
  3. 23Disaster Prediction Tool0★unknownliveai-builtTool that analyzes environmental and geographic data to predict natural disasters and warn users of potential risks.

Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.