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

Details

External ID
49475565
Source
HN
Company
—
Product
I compressed videos by upto 78x while preserving faces,text and details
Website domain
figshare.com
Launched
Aug. 28, 2026
Cohort
—
Upvotes
5
Upvotes percentile
0.12634408602150538
Tags
—
Fetched at
Sept. 10, 2026, 5:31 a.m.
Updated at
Sept. 10, 2026, 5:31 a.m.

Enrichment

Theme
video editing and creation tools
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
AI feature
Project type
Commercial product
Normalized one-liner
video compression preserving faces and text
Manually corrected
False

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 — 489 launches clear the similarity bar, closest 8 shown.

Attention rank: #446 of 490 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 300 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a dev tools tool for Sales yet.