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FaceSearch

Turn a face into OSINT.

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FaceSearch is an AI-powered face search engine built for OSINT and digital investigations. Upload a face and discover where visually similar images appear across publicly accessible sources, including social media, news, blogs, videos, and other websites. Investigate suspicious profiles, identify reused images, uncover digital footprints, and connect publicly available information to a visual identity.

PH · launched Sep 15, 2026 · 1 upvote (top 69%) · 0 views

Niche: multimedia and records search engines · 74 launches, 4 in the last 7 days · Explore this niche →

Category and tags

  • Security
  • Search & retrieval
  • B2B
  • AI-native
  • Commercial product
  • Android
  • Privacy
  • Artificial Intelligence
  • Security

Visit website ↗ Source listing ↗

Could you build this?

No FaceSearch (similar to PimEyes) demands billions of web-scraped face images indexed into massive vector databases using specialized facial embedding models.

What it would actually take: A functional face search engine requires high-throughput web crawlers continuously scraping billions of images across the open web and social networks. The core infrastructure relies on deep metric learning models (like ArcFace/InsightFace) to extract face embeddings and petabyte-scale vector search engines (e.g., Milvus, Faiss, or Qdrant) distributed over dozens of GPU nodes. This necessitates tens of thousands of dollars per month in crawling bandwidth, anti-bot circumvention, massive storage, and expertise in distributed high-dimensional nearest-neighbor indexing.

Competitors

Other products that read as similar to this one : 181 launches clear the similarity bar, closest 8 shown.

Attention rank: #146 of 182 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 316 days after the earliest competitor.

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