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Are You in the Weights?

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With more traffic moving off-web and into LLMs, I got curious about what traces we leave "in the weights". My design partner and I built a site in the past few weeks that checks recognition across frontier and small models. It queries many of them in parallel, clusters the responses, and tells you how strongly they recognize you. Happy to answer any questions here!

HN · launched Jun 18, 2026 · 471 upvotes (top 1%) · 0 views

Niche: cognitive and self-assessment tools · 55 launches, 1 in the last 7 days ▼ -86% · Explore this niche →

Category and tags

  • Horizontal
  • Observability & eval
  • Developer
  • AI-native
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

Yes A web app that queries multiple LLMs via standard APIs with a prompt asking 'Who is [Name]?', extracts the answers, and displays recognition scores on a leaderboard.

Discussion

20 comments analyzed.

Competitors mentioned: ChatGPT, Kimi K2

Concerns raised: Hallucinating fictional people with same names as real users, Inconsistent accuracy across different name formats and variations, False positives when searching for common names, Privacy concerns about IP address logging and identification, Poor accuracy for people without significant online presence

Feature requests: Expand search beyond names to company/organization lookups, Search by alternative identifiers like GitHub repositories or academic credentials

Competitors

Other products that read as similar to this one : 131 launches clear the similarity bar, closest 8 shown.

Attention rank: #3 of 132 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 231 days after the earliest competitor.

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