WeWorkBuddy

Named entitynamed-entityNewly observed

到起飞那段时间

X 上天天有人晒 MRR 截图,但截图只说赚了多少,不说人从哪来、为什么付钱。我想看的是一张前后加得起来的图:多少人点击,几成进站,几成留下,最后多少笔付款。于是给 1,169 个月入 $10,000 以上的网站 每个画了一张流量模型。 👉 https://msfdcszhd.com 🎬 上面这张是 laper.ai ,一个 AI 编剧工具,一年做到月入 4 万多刀。从左到右:目标人群 → 他们怎么知道这个站的 → 从哪个渠道进来 → 进站 → 变成用户 → 付款。⚪ 灰球是路人,🟢 绿球是用户,每个球是一次点击,没转化的球在圆里被吃掉。每个圆点开都能看到数字来源。 📊 网站上有两个榜:一个是从 Stripe 、Gumroad 这些收银台反查出来的 606 个站 ,按上个月付费页访问排;一个是 Trus

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
Nov 2, 2026, 6:30 AM UTC
Earliest cited publication
Nov 2, 2026, 5:55 AM UTC
Last observed
Nov 2, 2026, 6:30 AM UTC

Evidence in the last complete seven days

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

Collection observations and undated records are separate from dated publication counts. Observed in 7d:1 · Undated records:0

Collection coverage · Comparable windowsCurrent / previous observed days 7 / 7

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

Current window:2026-10-31 → 2026-11-07 (end excluded) · History 19 days

Observed source coverage by seven-day window
SourceCurrent daysPrevious daysLast success
arXiv65Nov 7, 2026, 12:45 AM UTC
arXiv74Nov 6, 2026, 5:15 AM UTC
Ask HN75Nov 6, 2026, 9:45 PM UTC
Ask HN75Nov 6, 2026, 9:45 PM UTC
Ask HN75Nov 6, 2026, 10:15 PM UTC
Ask HN75Nov 6, 2026, 10:15 PM UTC
GitHub75Nov 7, 2026, 1:00 AM UTC
GitHub Issues75Nov 6, 2026, 4:00 PM UTC
GitHub Releases73Nov 7, 2026, 12:30 AM UTC
GitHub75Nov 7, 2026, 2:45 AM UTC
GitHub Issues75Nov 6, 2026, 4:45 PM UTC
GitHub Releases75Nov 6, 2026, 4:45 PM UTC
GitHub75Nov 7, 2026, 2:45 AM UTC
GitHub Issues75Nov 6, 2026, 5:00 PM UTC
GitHub Releases75Nov 6, 2026, 4:45 PM UTC
GitHub Discovery20Nov 6, 2026, 10:15 PM UTC
GitHub Trending75Nov 7, 2026, 1:45 AM UTC
Google74Nov 6, 2026, 8:30 AM UTC
Hugging Face74Nov 6, 2026, 8:30 AM UTC
Hugging Face Spaces20Nov 6, 2026, 9:45 PM UTC
Hacker News75Nov 7, 2026, 1:45 AM UTC
Hacker News75Nov 6, 2026, 10:15 PM UTC
Hacker News75Nov 6, 2026, 10:15 PM UTC
Hacker News20Nov 6, 2026, 10:15 PM UTC
Show HN20Nov 6, 2026, 9:45 PM UTC
MIT News74Nov 6, 2026, 5:45 PM UTC
OpenAI75Nov 6, 2026, 11:45 AM UTC
Product Hunt75Nov 7, 2026, 1:45 AM UTC
量子位65Nov 6, 2026, 7:00 PM UTC
OpenRouter20Nov 7, 2026, 2:58 AM UTC
GitHub Trending77Nov 6, 2026, 1:15 PM UTC
Hugging Face Models20Nov 7, 2026, 2:58 AM UTC
HF Daily Papers20Nov 7, 2026, 2:58 AM UTC
OpenRouter20Nov 7, 2026, 2:58 AM UTC
Product Hunt77Nov 6, 2026, 1:15 PM UTC
SEC EDGAR75Nov 6, 2026, 10:45 PM UTC
Sequoia Capital74Nov 6, 2026, 6:45 AM UTC
Simon Willison20Nov 6, 2026, 3:15 PM UTC
TechCrunch75Nov 6, 2026, 9:15 PM UTC
Contracts Finder75Nov 6, 2026, 8:00 PM UTC
V2EX75Nov 6, 2026, 9:15 PM UTC
  • Counts describe monitored public sources, not the whole web or search demand.

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.

2026-10-242026-11-07
View accessible daily data
Daily source mentions and collection observations
UTC dateMentionsSourcesObservationsRanking appearances
2026-10-240000
2026-10-250000
2026-10-260000
2026-10-270000
2026-10-280000
2026-10-290000
2026-10-300000
2026-10-310000
2026-11-010000
2026-11-021110
2026-11-030000
2026-11-040000
2026-11-050000
2026-11-060000
2026-11-070000
Source page screenshot: [分享创造] [送码] 月入 $10,000 的网站钱从哪来?我给 1169 个站每个画了一张流量模型
Source page screenshot · v2ex.com

Source evidence

Sources in the evidence shown:V2EX 1

  1. V2EX · Published Nov 2, 2026

    [分享创造] [送码] 月入 $10,000 的网站钱从哪来?我给 1169 个站每个画了一张流量模型

    X 上天天有人晒 MRR 截图,但截图只说赚了多少,不说人从哪来、为什么付钱。我想看的是一张前后加得起来的图:多少人点击,几成进站,几成留下,最后多少笔付款。于是给 1,169 个月入 $10,000 以上的网站 每个画了一张流量模型。 👉 https://msfdcszhd.com 🎬 上面这张是 laper.ai ,一个 AI 编剧工具,一年做到月入 4 万多刀。从左到右:目标人群 → 他们怎么知道这个站的 → 从哪个渠道进来 → 进站 → 变成用户 → 付款。⚪ 灰球是路人,🟢 绿球是用户,每个球是一次点击,没转化的球在圆里被吃掉。每个圆点开都能看到数字来源。 📊 网站上有两个榜:一个是从 Stripe 、Gumroad 这些收银台反查出来的 606 个站 ,按上个月付费页访问排;一个是 Trus

    View source record →

Review priority 34 / 100

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

  • Evidence

    8 / 30

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

  • Publisher diversity

    8 / 25

    Conservative owner grouping; syndicated copies count once.

  • Comparable change

    0 / 20

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

  • Recent evidence

    9.8 / 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.
  • The previous week is too small for a reliable percentage change.
  • Current evidence comes from one publisher or owner.

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