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I calculated sun/shade exposure for every seat at World Cup stadiums

Details

External ID
47352506
Source
HN
Company
—
Product
I calculated sun/shade exposure for every seat at World Cup stadiums
Website domain
seatsun.com
Launched
March 12, 2026
Cohort
—
Upvotes
5
Upvotes percentile
0.1070110701107011
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

Last year, I went to a game at a stadium I had never visited (Arrowhead). Ended up baking in the sun for the entire second half. Afterwards, was surprised I couldn't find a tool that told me where the sun would actually be during games.So for WC2026 I built SeatSun: a free tool (no sign up needed) that calculates sun/shade exposure for every section at the World Cup 2026 stadiums depending on date and match time.The technical core: solar azimuth and altitude calculations (based on Meeus astronomical algorithms, ~0.3 degree accuracy) tied to each stadium's orientation and GPS coordinates. For each open-air stadium I mapped the seating sections to compass bearings, then render an interactive overlay showing which sections are in sun vs shade at the exact match time. The sun position shifts meaningfully across a single afternoon -- a 3pm kickoff looks very different from a 6pm kickoff at the same stadium.Covers 16 stadiums: 13 open-air with interactive sun maps, 3 indoor (AT&T, Mercedes-Benz, NRG) with appropriate notes. You can set any date and kickoff time to see the exposure for your specific game.Would love feedback on the accuracy, especially from anyone who has been inside these stadiums and can sanity-check the section orientations. A few of the venues were harder to calibrate than others, and I haven’t yet made adjustments other than notes for partially covered stadiums (eg Hard Rock).

Enrichment

Theme
interactive maps and geospatial visualizations
Vertical
Horizontal
Function
Analytics & BI
Audience
B2C
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
sun and shade exposure analysis for world cup stadium seats
Manually corrected
False

Could you build this?

Partial While calculating solar angles via standard astronomical formulas is straightforward, acquiring and accurately mapping 3D geometry or roof overhang obstruction data for every stadium section requires non-trivial manual modeling or proprietary CAD/GIS data.

What it would actually take: The frontend can use Three.js or standard map views with solar position libraries (like SunCalc). The bottleneck is gathering or building accurate 3D spatial models of dozens of stadiums, including roof overhangs, canopy shapes, and precise seat section heights/angles, then computing ray-casting shadow calculations for specific match times.

Discussion

2 comments analyzed.

Feature requests: Add weather data integration (forecasts for cloud cover), Layer in shade and image data from Google Earth

Competitors

Other products that read as similar to this one — 69 launches clear the similarity bar, closest 8 shown.

Attention rank: #68 of 70 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 74 days after the earliest competitor.

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