Public signal scores
Current public signal rankings by category. Movement compares the two latest completed score calculations; every history graph uses the same 0–100 scale.
Category rankings
Companies are ordered from the highest current score to the lowest. Select a company to review only its public signal history.
Category
Startups that improve how we observe and predict rainfall and local water conditions. Better real-time data matters as precipitation becomes more erratic and historical averages become less reliable.
| Company | Score | Movement | History |
|---|---|---|---|
| 72 | — | ||
| 68 | — | ||
| 48 | — | ||
| 46 | — |
Category
Startups that predict floods, map their impact, and help users respond. As extreme rainfall becomes more frequent, they turn flood risk into information that can support concrete decisions.
| Company | Score | Movement | History |
|---|---|---|---|
| 68 | — | ||
| 64 | — | ||
| 58 | — | ||
| 58 | — | ||
| 58 | — | ||
| 52 | — | ||
| 52 | — |
Category
Startups that improve visibility into water scarcity, groundwater conditions, and future supply. Their products help users understand how available water is changing as dry periods become longer and less predictable.
| Company | Score | Movement | History |
|---|---|---|---|
| 64 | — | ||
| 61 | — | ||
| 57 | — | ||
| 56 | — | ||
| 28 | — | ||
| 0 | — |
Category
Startups that capture excess rainfall and make it useful later. Their systems reduce pressure during wet periods while helping build a more reliable water reserve for dry ones.
| Company | Score | Movement | History |
|---|---|---|---|
| 66 | — | ||
| 0 | — | ||
| — | — |
* Company acquired
