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egodup

Local-first detection and temporal localization of reused footage in egocentric video.

Details

External ID
1370617579
Source
GITHUB
Company
—
Product
egodup
Website domain
github.com
Launched
Sept. 14, 2026
Cohort
—
Upvotes
35
Upvotes percentile
0.7558288496028696
Tags
computer-vision, copy-detection, digital-forensics, egocentric-video, faiss, pytorch, video-similarity
Fetched at
Sept. 18, 2026, 5:02 p.m.
Updated at
Sept. 18, 2026, 5:02 p.m.

Enrichment

Theme
ai video generation and editing tools
Vertical
Media & entertainment
Function
Analytics & BI
Audience
Developer
AI stance
AI feature
Project type
Hobby / open-source project
Normalized one-liner
duplicate footage detector for egocentric video
Manually corrected
False

Could you build this?

Partial The CLI wrapper, video processing pipeline, and UI are straightforward, but accurate temporal localization of repeated footage under severe egocentric video motion requires specialized computer vision methods.

What it would actually take: The stack would combine FFmpeg for frame extraction, PyTorch with self-supervised visual encoders (such as DINOv2 or VideoMAE), and FAISS for vector indexing combined with Dynamic Time Warping (DTW). The hardest engineering challenge is achieving robust sub-second temporal localization despite severe camera shake, occlusion, and lighting changes inherent to first-person video, all while running efficiently on local consumer hardware. This requires a computer vision engineer experienced in video fingerprinting and temporal sequence matching.

Competitors

Other products that read as similar to this one — 476 launches clear the similarity bar, closest 8 shown.

Attention rank: #123 of 477 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 318 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a analytics & bi tool for Legal yet.