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! Comments URL: Points: 8 # Comments: 0
SaaS & Software·Jun 18, 2026
Show HN: Are You in the Weights?
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! Comments URL: Points: 8 # Comments: 0
Hacker News1 min readSingle source
The gist
3-point summary · 1 minWith 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! Comments URL: Points: 8 # Comments: 0
- 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.
Integrity note · The source publication didn't make the full article available — Xela wrote this version from what could be gathered (headline, public summary, and signals). Facts and attributions are preserved; for the original piece in the publisher's own words, read it at Hacker News.
What people are saying
Discussion
Hot takes
0/280
Loading takes…
Comments
Discussion · 0
Sign in to comment, like, and save articles.
Sign inLoading comments…
