Nicheloom visits: 58,069 all-time · 7,637 in the last 7 days

The opportunity tracker for new startups.

Today: 1,953 launches · Niche of the day: specialized calculation tools · See what launched today →

isometric.nyc/snow

Get picks like this daily. Today's launch numbers, the top launches, AI and tech news, and a daily opportunity pick, straight to your inbox.

Want to reach these readers? Sponsor an issue.

Hey HN,As NYC wakes up to the largest blizzard in years, I’d like to share [isometric.nyc/snow](http://isometric.nyc/snow) - a wintry mix of the original isometric pixel map of NYC .This work builds on the original isometric.nyc ideas but aims to increasingly automate the process of generating the tiled images. I’ve written up a follow-up addendum at [cannoneyed.com/projects/isometric-nyc\#snow](http://cannoneyed.com/projects/isometric-nyc#snow) that describes some of this work, but the tl;dr is:* ensuring that training data and generations are color balanced / normalized goes a long way for consistency (duh) * augmenting water with a crosshatch pattern allowed the model to learn what it was instead of hallucinating (interesting!) * dramatically increasing inference throughput on [modal.com](http://modal.com) meant I could generate 10s of thousands of tiles in a few hours at very little cost, allowing me to experiment much more rapidlyThis project continues to be a lot of fun, but I’m now mostly focusing on the agentic workflows that power this kind of ambitious generation at scale. Can’t wait to share more soon.

HN · launched Feb 23, 2026 · 10 upvotes (top 47%) · 0 views

Niche: interactive mapping platforms · 191 launches, 16 in the last 7 days ▲ +7% · Explore this niche →

Category and tags

  • Media & entertainment
  • B2C
  • Not AI
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

Partial Displaying a tiled isometric map in the browser is straightforward, but the automated pipeline to convert GIS/3D architectural building datasets into stylized isometric pixel art tiles requires specialized rendering.

What it would actually take: This requires an automated geospatial rendering pipeline that consumes NYC LiDAR and OpenStreetMap 3D building footprint data, transforms geometry into an isometric camera projection, and applies custom pixelation/voxelization shaders with procedural snow accumulation algorithms. Generating coherent, artifact-free pixel tiles at scale across an entire city demands expertise in 3D graphics rendering, GIS processing, and automated sprite generation.

Discussion

2 comments analyzed.

Competitors

Other products that read as similar to this one : 165 launches clear the similarity bar, closest 8 shown.

Attention rank: #80 of 166 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 115 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.