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geosae

Sparse autoencoders for Earth embeddings

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GITHUB · launched Nov 8, 2026 · 11 upvotes (top 98%) · 0 views

Niche: machine learning developer tools · 303 launches, 11 in the last 7 days ▼ -45% · Explore this niche →

Category and tags
  • Horizontal
  • Model & infra
  • Developer
  • AI-native
  • Hobby / open-source project

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More like this: all 303 launches in machine learning developer tools →

Could you build this?

No This is a research library for sparse autoencoders on Earth observation embeddings, and its value depends on novel methods, evaluation design, and access to large geospatial datasets.

What it would actually take: The code is PyTorch with data pipelines over Zarr and satellite embedding products such as AlphaEarth and Tessera, which an AI assistant can help write. The hard part is the science: designing and validating SAE objectives, evaluation against reference concepts, and the datasets and compute needed to reproduce the NeurIPS results, requiring ML researchers and geospatial scientists.

Competitors

Other products that read as similar to this one : 1331 launches clear the similarity bar, closest 8 shown.

Attention rank: #1317 of 1332 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 375 days after the earliest competitor.

  • HyperSAE · hn · 2026-08-19 · 6 upvotes · similarity 0.75
  • EVA · github · 2026-10-06 · 10 upvotes · similarity 0.63
  • manby · github · 2026-11-05 · 45 upvotes · similarity 0.59
  • GeoImageTagger · hn · 2026-07-24 · 50 upvotes · similarity 0.59
  • GeoReader · github · 2026-10-10 · 17 upvotes · similarity 0.59
  • ALPS · github · 2026-10-21 · 22 upvotes · similarity 0.58
  • Drift · hn · 2026-06-10 · 6 upvotes · similarity 0.55
  • mind · github · 2026-09-21 · 16 upvotes · similarity 0.53

Related data

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