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I compressed videos by upto 78x while preserving faces,text and details

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HN · launched Aug 28, 2026 · 5 upvotes (top 87%) · 0 views

Niche: file and data compression tools · 100 launches, 15 in the last 7 days ▲ +88% · Explore this niche →

Category and tags

  • Horizontal
  • Dev tools
  • Developer
  • AI-native
  • Commercial product

Visit website ↗ Source listing ↗

Could you build this?

No Achieving up to 78x video compression while selectively preserving faces, text, and fine details requires novel computer vision, segmentation models, and custom video codec/neural compression research.

What it would actually take: Requires a pipeline combining real-time face/text detection (e.g., YOLO or segmentation models), variable rate allocation, and generative neural video compression (e.g., learned video codecs or NeRF-style representations). Implemented using PyTorch/CUDA and C++ for video decoding/encoding integration with standard container formats. Requires specialized research expertise in video coding algorithms, perceptual loss metrics, and GPU acceleration.

Discussion

1 comment analyzed.

Competitors mentioned: NPU (Neural Processing Units), GPUs for video processing, Traditional CCTV compression methods

Concerns raised: IP laws preventing adoption of non-patented inventions, Email spamming perception affecting credibility, Lack of replies from major organizations despite initial interest, Cost of official FPGA boards ($250) vs affordable alternatives

Feature requests: Integration with existing GPU-based systems, Mars rover and low-bandwidth video transmission applications, Video-to-text conversion capabilities, Server rack configuration with multiple NonPU devices

Competitors

Other products that read as similar to this one : 1403 launches clear the similarity bar, closest 8 shown.

Attention rank: #1292 of 1404 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 300 days after the earliest competitor.

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