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Selected work / Local context gap

Felt Weather

When people plan around weather using only official readings, the risk is missing how conditions actually feel nearby. Flat18 combined forecasts with local public signals and an explainable felt score so users can judge a location with more context.

Map-firstExplore

The interface starts with the layer people need to scan first.

Local signalsContext

Nearby posts help explain why the score looks the way it does.

Mobile-readyUse on the move

The workflow stays readable when the screen gets smaller.

Development journey

From raw weather data to a product that explains how conditions feel on the ground.

Flat18 treated Felt Weather as a context problem. The product had to keep the map simple while still showing the evidence behind the score, the local posts that support it, and the conditions underneath it.

01 / Context gap

Official forecasts missed the human part of how weather feels locally.

The product needed to explain not just what the station measured, but whether people nearby were describing conditions as pleasant, windy, damp, or miserable.

02 / Product shape

We combined weather readings with nearby posts and an explainable felt score.

The map had to stay easy to read while still showing the logic behind the score, the local posts that support it, and the conditions that sit underneath it.

03 / Decision layer

The mobile workflow keeps the same evidence close at hand in the field.

The selected-location panel becomes a bottom sheet on smaller screens so people can keep checking the map without losing the evidence they need.

Product surfaces

Designed around the moments where weather data needs human context.

Felt Weather combines measured weather, public sentiment, and local evidence without making the interface feel like a research tool.

Live map

See the felt layer at a glance.

The heat layer combines local signals with a clear visual hierarchy so the first read stays simple.

Evidence panel

Explain why a location scores the way it does.

The location panel keeps official weather, nearby posts, and the score in one place so the logic is inspectable.

Mobile workflow

Keep the same map story on smaller screens.

The bottom sheet pattern makes the field view practical without hiding the evidence or the current location.

Live felt-score map
Location evidence panel
Mobile local workflow

Delivered for confidence

The interface exposes the evidence behind each score, so users can inspect the local posts and measured conditions before trusting the map signal.

LiveDiagnosis: forecast context gapSolution: social weather signalOutcome: local decision layer

Forecasts tell people what the weather station measured. Felt Weather adds the human context: whether nearby people are describing conditions as pleasant, windy, damp, fresh, disruptive, or miserable.

Problem found

Official readings can be accurate while still missing microclimates, street-level comfort, and fast-moving local conditions.

Flat18 diagnosis

Users needed weather data and human evidence together so they could understand what the conditions mean for travel, events, and local plans.

Solution shipped

We built a map experience that combines Open-Meteo conditions, classified public posts, sentiment tags, heat layers, and selected-location evidence.

Customer value

People and operators can compare official weather with local sentiment before they decide where to go or what to do next.

What Flat18 handled

  • Turned noisy local posts into structured weather sentiment and comfort signals
  • Designed a map-first workflow with heatmap scanning and location-level evidence
  • Placed official weather beside human signal so the product stays explainable
  • Adapted the selected-location panel into a mobile bottom sheet for field use

Key capabilities

  • Live felt-score heatmap by visible map bounds and zoom level
  • Open-Meteo weather with apparent temperature, wind, humidity, rain, and cloud cover
  • Nearby post feed with source, relative time, sentiment, and weather tags
  • Keyword-first classification with optional AI fallback for low-confidence posts
  • Responsive Leaflet workflow for desktop and mobile exploration

Need work like this?

Flat18 can turn live data, public signals, and operational context into a product people can inspect, understand, and act on.

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