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Finding similarities in New Yorker covers

Details

External ID
46518106
Source
HN
Company
—
Product
Finding similarities in New Yorker covers
Website domain
shoplurker.com
Launched
Jan. 6, 2026
Cohort
—
Upvotes
18
Upvotes percentile
0.6416337285902504
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Description

Originally learned about image hashing and similarity comparison for product image searches. Decided to apply it to magazine covers.Thrasher covers: https://shoplurker.com/labs/thrasher-covers/

Enrichment

Theme
graphic design assets and utilities
Vertical
Media & entertainment
Function
Search & retrieval
Audience
B2C
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
find similar new yorker covers
Manually corrected
False

Could you build this?

Yes Scraping magazine covers and computing perceptual hashes (dHash/pHash) or vector embeddings for similarity search is standard and straightforward to vibe-code.

Discussion

8 comments analyzed.

Competitors mentioned: same.energy (CLIP-based image search), mood.zip, Magic the Gathering card visual clustering project

Concerns raised: Current image hash method produces unreliable similarity results, UI unclear - unclear what results represent or why covers are matched, Basic hashing doesn't capture meaningful visual similarity

Feature requests: Use CLIP or DINOv2 embeddings for better similarity matching, Visual explanation of why/how images are similar, Transparency about algorithm and similarity scoring, Open source repo to fork

Competitors

Other products that read as similar to this one — 13 launches clear the similarity bar, closest 8 shown.

Attention rank: #6 of 14 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 47 days after the earliest competitor.

Other launches for this product