WeWorkBuddy

Named entitynamed-entityInsufficient data

自己

主站目前有上千活跃用户 欢迎各位老板来发布自己的招聘需求 找工作的也可以关注,以后职位信息会越来越多 https://wodegongzi.com/jobs

This explanation quotes or summarizes the cited source record. Saving creates a bookmark on this device, with no automatic account sync.

First observed in our collection
Oct 22, 2026, 5:15 PM UTC
Earliest cited publication
Oct 22, 2026, 12:53 PM UTC
Last observed
Oct 28, 2026, 9:15 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 6, 2026, 5:15 AM UTC
Ask HN74Nov 6, 2026, 3:45 PM UTC
Ask HN74Nov 6, 2026, 3:30 PM UTC
Ask HN74Nov 6, 2026, 4:00 PM UTC
Ask HN74Nov 6, 2026, 4:00 PM UTC
GitHub74Nov 6, 2026, 12:45 PM UTC
GitHub Issues74Nov 6, 2026, 4:00 PM UTC
GitHub Releases72Nov 6, 2026, 12:15 PM UTC
GitHub74Nov 6, 2026, 2:30 PM UTC
GitHub Issues74Nov 6, 2026, 4:30 AM UTC
GitHub Releases74Nov 6, 2026, 4:30 AM UTC
GitHub74Nov 6, 2026, 2:30 PM UTC
GitHub Issues74Nov 6, 2026, 5:00 AM UTC
GitHub Releases74Nov 6, 2026, 4:30 AM UTC
GitHub Discovery10Nov 6, 2026, 4:00 PM UTC
GitHub Trending74Nov 6, 2026, 1:15 PM UTC
Google73Nov 6, 2026, 8:30 AM UTC
Hugging Face73Nov 6, 2026, 8:30 AM UTC
Hugging Face Spaces10Nov 6, 2026, 3:30 PM UTC
Hacker News74Nov 6, 2026, 1:15 PM UTC
Hacker News74Nov 6, 2026, 4:15 PM UTC
Hacker News74Nov 6, 2026, 4:15 PM UTC
Hacker News10Nov 6, 2026, 4:00 PM UTC
Show HN10Nov 6, 2026, 3:45 PM UTC
MIT News73Nov 5, 2026, 4:15 PM UTC
OpenAI74Nov 6, 2026, 11:45 AM UTC
Product Hunt74Nov 6, 2026, 1:15 PM UTC
量子位64Nov 4, 2026, 10:15 AM UTC
OpenRouter10Nov 6, 2026, 4:00 PM UTC
Hugging Face Models10Nov 6, 2026, 4:00 PM UTC
HF Daily Papers10Nov 6, 2026, 4:00 PM UTC
OpenRouter10Nov 6, 2026, 4:00 PM UTC
SEC EDGAR74Nov 6, 2026, 10:45 AM UTC
Sequoia Capital73Nov 6, 2026, 6:45 AM UTC
Simon Willison10Nov 6, 2026, 3:15 PM UTC
TechCrunch74Nov 6, 2026, 3:00 PM UTC
Contracts Finder74Nov 6, 2026, 8:00 AM UTC
V2EX74Nov 6, 2026, 3:00 PM 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.

2026-10-222026-11-06
View accessible daily data
Daily source mentions and collection observations
UTC dateMentionsSourcesObservationsRanking appearances
2026-10-221110
2026-10-230000
2026-10-240000
2026-10-250000
2026-10-260000
2026-10-270000
2026-10-281110
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 page screenshot: [分享创造] 做了个招聘网站
Source page screenshot · v2ex.com

Source evidence

Sources in the evidence shown:V2EX 2

  1. V2EX · Published Oct 28, 2026

    [分享创造] 做了个招聘网站

    主站目前有上千活跃用户 欢迎各位老板来发布自己的招聘需求 找工作的也可以关注,以后职位信息会越来越多 https://wodegongzi.com/jobs

    View source record →
  2. V2EX · Published Oct 22, 2026

    [分享创造] 做了近 10 年合租车主,我开源了自己的订阅账本 Calends

    哈喽大家好,我是之前开发 AppStorePrice 的朋友,这次给大家推荐一款订阅管理的开源方案:Calends 。 我自己一直都是订阅记录的重度用户,前前后后用过市面上十多款 App 、开源项目。但是用下来,总觉得它们跟我的实际需求,尤其是合租的场景不太匹配。YouTube 我开车快 10 年了,Spotify 也开了 5 年多。除了记录自己订了什么、花了多少钱,还要记成员付到哪天、哪些钱没收、自己到底垫了多少。再加上跨区、涨价、代付、礼品卡,很多细节都得另外补。 所以这次干脆自己做了一个,把这些年一直想要的功能都做进去。对于我自己的订阅和开车需求,我觉得目前没有比它更合适的了。尤其是现在的 AI 订阅。先放一段视频,大家可以直接看一下整体效果: 观看宣传视频 · MP4 直链 我最想说的,还是 AI 和

    View source record →

Review priority 14 / 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

    5.6 / 15

    Latest publication or first observation, not repeated fetch time.

  • Name specificity

    8 / 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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