KOMpire

How Grid Scanning Works

The visible map area is divided into a grid of cells. Each cell makes one Strava API call that returns the top 10 most popular segments in that area.

Higher density = smaller cells = finds more obscure segments that only appear when you zoom in close. But uses more API calls (limit: 100 per 15 minutes, 1000 per day).

At maximum (36x36 = 1,296 cells), this covers the entire visible area at very fine resolution. Note this will exhaust your daily API limit.

Cells already scanned are cached and skipped for free. Re-scanning the same area costs nothing extra.

Competitiveness Score

Measures how many unique athletes have attempted the segments where this rider holds the KOM. Holding #1 out of 5,000 riders is much harder than #1 out of 20.

The score is the average number of competitors across all held segments.

Min KOMs / QOMs Filter

Controls how many KOMs (or QOMs) a rider needs to earn their own territory on the map.

Riders below this threshold have their segments absorbed into the nearest qualifying rider's territory. This cleans up the map by merging tiny one-segment territories into their neighbors.

Low value (2-3): More riders shown, fragmented map.
High value (10+): Fewer riders, cleaner territories dominated by top KOM holders.

Import My Efforts

This imports your personal segment times from your recent Strava rides. Once imported, KOMpire can show you how close you are to each KOM.

For example: "KOM is 2:34, your best is 2:41 — you need just 7 seconds faster to claim it."

This uses your Strava API budget (1 call per activity). Only needs to be done once — your efforts are saved for future visits.