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IdoGol24/weir

Name variants Weir · weir

Hi HN. Weir is for one problem: credentials crossing the boundaries of your AI agent. For agents you build, Weir plants fake credentials where real ones would live, runs the agent's normal flows, and checks what comes out: telemetry, logs, console output, model requests, and requests to other services. It looks for those exact values, including common encode

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First observed in our collection
Oct 27, 2026, 7:00 PM UTC
Earliest cited publication
Oct 27, 2026, 4:07 PM UTC
Last observed
Oct 28, 2026, 7:45 PM UTC

Evidence in the last complete seven days

Source mentions
0
Previous seven days 1
Distinct sources
0
Previous 1
Comparable growth
Not comparable
Ranking appearances
0

Collection observations and undated records are separate from dated publication counts. Observed in 7d:0 · Undated records:0

Collection coverage · Limited historyCurrent / previous observed days 7 / 4

Counts use complete UTC days. First observed means first seen by this collection, not when a term was coined.

Current window:2026-10-30 → 2026-11-06 (end excluded) · History 12 days

Observed source coverage by seven-day window
SourceCurrent daysPrevious daysLast success
arXiv64Nov 6, 2026, 12:30 AM UTC
arXiv73Nov 5, 2026, 10:01 AM UTC
Ask HN74Nov 6, 2026, 3:30 AM UTC
Ask HN74Nov 6, 2026, 2:45 AM UTC
Ask HN74Nov 6, 2026, 3:30 AM UTC
Ask HN74Nov 6, 2026, 3:30 AM UTC
GitHub74Nov 6, 2026, 12:30 AM UTC
GitHub Issues74Nov 6, 2026, 4:00 AM UTC
GitHub Releases72Nov 6, 2026, 12:15 AM UTC
GitHub74Nov 6, 2026, 2:30 AM UTC
GitHub Issues74Nov 6, 2026, 4:30 AM UTC
GitHub Releases74Nov 6, 2026, 4:30 AM UTC
GitHub74Nov 6, 2026, 2:30 AM UTC
GitHub Issues74Nov 6, 2026, 5:00 AM UTC
GitHub Releases74Nov 6, 2026, 4:30 AM UTC
GitHub Discovery10Nov 6, 2026, 3:30 AM UTC
GitHub Trending74Nov 6, 2026, 1:00 AM UTC
Google73Nov 5, 2026, 10:00 AM UTC
Hugging Face73Nov 5, 2026, 8:15 AM UTC
Hugging Face Spaces10Nov 6, 2026, 3:30 AM UTC
Hacker News74Nov 6, 2026, 1:00 AM UTC
Hacker News74Nov 6, 2026, 3:45 AM UTC
Hacker News74Nov 6, 2026, 3:45 AM UTC
Hacker News10Nov 6, 2026, 3:30 AM UTC
Show HN10Nov 6, 2026, 3:30 AM UTC
MIT News73Nov 5, 2026, 4:15 PM UTC
OpenAI74Nov 5, 2026, 11:30 AM UTC
Product Hunt74Nov 6, 2026, 1:00 AM UTC
量子位64Nov 4, 2026, 10:15 AM UTC
OpenRouter10Nov 6, 2026, 4:39 AM UTC
Hugging Face Models10Nov 6, 2026, 4:39 AM UTC
HF Daily Papers10Nov 6, 2026, 4:39 AM UTC
OpenRouter10Nov 6, 2026, 4:39 AM UTC
SEC EDGAR74Nov 5, 2026, 10:30 PM UTC
Sequoia Capital73Nov 5, 2026, 10:00 AM UTC
Simon Willison10Nov 5, 2026, 3:13 PM UTC
TechCrunch74Nov 6, 2026, 2:45 AM UTC
Contracts Finder74Nov 5, 2026, 7:45 PM UTC
V2EX74Nov 6, 2026, 2:45 AM UTC
  • Counts describe monitored public sources, not the whole web or search demand.
  • Both weeks need adequate, comparable collection coverage.

Daily history · up to 90 days

Bars show dated source mentions. The latest UTC day may be incomplete. Zero mentions and missing collection coverage are different conditions.

2026-10-232026-11-06
View accessible daily data
Daily source mentions and collection observations
UTC dateMentionsSourcesObservationsRanking appearances
2026-10-230000
2026-10-240000
2026-10-250000
2026-10-260000
2026-10-271110
2026-10-280000
2026-10-290000
2026-10-300000
2026-10-310000
2026-11-010000
2026-11-020000
2026-11-030000
2026-11-040000
2026-11-050000
2026-11-060000
Source reference for Show HN: Weir - Catch credential leaks in the AI agents you build and use. Screenshot not yet available.
Source record · preview pending · github.comOpen the source for the full page.

Source evidence

Sources in the evidence shown:Hacker News 1

  1. Hacker News · Published Oct 27, 2026

    Show HN: Weir - Catch credential leaks in the AI agents you build and use

    Hi HN. Weir is for one problem: credentials crossing the boundaries of your AI agent. For agents you build, Weir plants fake credentials where real ones would live, runs the agent's normal flows, and checks what comes out: telemetry, logs, console output, model requests, and requests to other services. It looks for those exact values, including common encode

    View source record →

Review priority 15 / 100

This score orders research candidates. It is not search volume, a forecast or verified commercial demand.

  • Evidence

    0 / 30

    Distinct dated articles or first observations; repeat crawling adds nothing.

  • Publisher diversity

    0 / 25

    Conservative owner grouping; syndicated copies count once.

  • Comparable change

    0 / 20

    Comparable complete weeks only; no percentage from a zero baseline.

  • Recent evidence

    4.9 / 15

    Latest publication or first observation, not repeated fetch time.

  • Name specificity

    10 / 10

    Explicit entities and technical concepts outrank ambiguous acronyms.

Limitations and interpretation

  • First observation is a collection milestone, not proof that a word or product is new to the world.
  • Counts describe monitored public sources, not the whole web or search demand.
  • First observed here is not the invention date of a name or idea.
  • Candidates come from public titles, summaries and entity URLs, not verified full-text analysis.
  • Owner grouping is conservative; undisclosed syndication may remain.
  • Both weeks need adequate, comparable collection coverage.
  • The previous week is too small for a reliable percentage change.
  • Current evidence comes from one publisher or owner.

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