Streaming gigabyte medical images from S3 without downloading them
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HN · launched Jan 17, 2026 · 161 upvotes (top 5%) · 0 views
Niche: file conversion and transfer utilities · 152 launches, 9 in the last 7 days ▼ -18% · Explore this niche →
Category and tags
- Healthcare
- Data infrastructure
- Developer
- Not AI
- Commercial product
Visit website ↗ Source listing ↗
More like this: all 152 launches in file conversion and transfer utilities →
Could you build this?
Partial The concept relies on HTTP range requests, but parsing complex gigabyte-scale multi-frame medical formats (like DICOM or pyramidal OME-TIFF) directly via streaming chunks requires deep file-format and image-tiling domain knowledge.
What it would actually take: The architecture requires an edge proxy or browser-based WebAssembly engine using HTTP Range requests against S3 to read format headers and fetch discrete byte offsets for specific tiles or slices without full downloads. The difficult part is parsing proprietary and complex medical formats (DICOM part 10, OME-TIFF, SVS) whose metadata and compressed image blocks (JPEG 2000, Deflate) are scattered across non-contiguous byte regions. This requires deep domain knowledge of biomedical imaging standards and low-level byte-stream decoders.
Discussion
20 comments analyzed.
Competitors mentioned: Kore Geo Systems digital core logging, Mount Sopris WellCAD, Geologic AI logging, Zarr format, HDF5, netCDF, FITS, GRIB formats
Concerns raised: S3 filesystem mounting is slow, Expensive and niche market, Complex compliance (HIPAA/GDPR/SecOps), Most S3 alternatives don't support advanced features, Unclear how to commercialize
Feature requests: Support 12 and 16-bit color depths for CT and DR imaging, JPEG-XL lossless compression with progressive decoding, Integrate with Apache Arrow and DuckDB for querying, Better filtering tools for cloud-optimized GeoTIFF files
Competitors
Other products that read as similar to this one : 361 launches clear the similarity bar, closest 8 shown.
Attention rank: #22 of 362 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 70 days after the earliest competitor.
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