產品

Kadoa

AI 為主MCP

面向投資機構,通過 AI 代理構建、監控和修復網頁資料管道,將經過驗證的資料集和市場事件提醒交付至團隊使用的工具。

kadoa.com 源碼★ 10資料與分析 / 網頁採集與提取

AI 競品立項評估
電腦版
行動端
每月造訪次數
暫無
暫無訪問資料
公開營收
未公開
暫無公開營收證據
入門價
按量付費
沒有月付訂閱價
創作者
Adrian Krebs
@krebs_adrian· 853 追蹤與 Johannes Engler、Tavis Lochhead 等 3 人 共創
首次發布
3 年前
2023-04-20 · 估算

訪問

每月造訪次數

暫無訪問資料。

事件4 個變化 · 4 個行銷動作

行銷動作

發布、搜尋與內容、引薦、促銷
  • 在 Show HN 發布(29 分 · 9 評論)發布

    A website that tracks US food prices every day — The US Department of Agriculture (USDA) publishes daily food price data for about 290 commodities on: - what growers were paid at shipping…

    9 月 21 日 · 54 天前發布頁

  • 在 Show HN 發布(63 分 · 25 評論)發布

    A website that tracks every stock trade Congress makes — Congressional trading data is relatively commoditized, but I couldn't find any open-source version with the features I wanted. The data is…

    5 月 26 日 · 6 個月前發布頁

  • 在 Show HN 發布(1 分)發布

    Quant Job Market Visualizer — Inspired by karpathy's US job market visualizer[0], I started to dabble with the idea of building live dashboards for certain job markets,…

    4 月 14 日 · 7 個月前發布頁

  • 在 Show HN 發布(313 分 · 153 評論)發布

    HN Wrapped 2025 - an LLM reviews your year on HN — I was looking for some fun project to play around with the latest Gemini models and ended up building this :) Enter your username and get:…

    2025 年 12 月 20 日 · 11 個月前發布頁

  • 在 Show HN 發布(10 分 · 5 評論)發布

    Let an LLM roast your HN profile

    2025 年 10 月 3 日 · 14 個月前發布頁

第三方評測與案例拆解

客戶來源管道拆解、工程師評測與開源檔案
Show HN
2023-04-20查看原文
創作者原帖摘錄:
We got frustrated with the time and effort required to code and maintain custom web scrapers, so we built a more generic LLM-based solution for data extraction from websites. AI should automate tedious and un-creative work, and web scraping definitely fits this description. We're leveraging LLMs (GPT and fine-tuned Flan-T5) to semantically understand website
Show HN
2023-07-03查看原文
創作者原帖摘錄:
There are existing HN job aggregators, but I thought we could take it a step further. Inspired by an insightful comment on a previous thread ( https://news.ycombinator.com/item?id=36163021 ), I built a tool that aggregates job postings and intelligently categorizes them based on user-specific preferences: * Country and remote work preferences * Employer type
Show HN
2023-10-27查看原文
創作者原帖摘錄:
Hi HN! I've noticed several "HN, but for X" posts over the last few weeks. I believe HN already covers almost every interesting topic, it's just a matter of surfacing the relevant content. That's why we built HackSnack to let everbody get their own personalized HN newsletter with relevant topics. We use LLMs to extract, summarize, and classify each HN articl
Show HN
2023-10-28查看原文
創作者原帖摘錄:
Hi HN! I've noticed several "HN, but for X" posts over the last few weeks. I believe HN already covers almost every interesting topic, it's just a matter of surfacing the relevant content. That's why we built HackSnack to let everbody get their own personalized HN newsletter with relevant topics. We use LLMs to extract, summarize, and classify each HN articl
Show HN
2023-11-30查看原文
創作者原帖摘錄:
Many have attempted to create niche 'HN for X' platforms, but why reinvent the wheel?. HN already has all the best content, good ranking algo, good moderation, great discussions, etc. - it's all there! However, I'm spending way too much time on the orange site, mainly because of FOMO in certain topics like AI. I wanted a tailored HN feed focusing on my perso
Show HN
2024-01-06查看原文
創作者原帖摘錄:
I was overwhelmed by the pace of AI news and papers coming out, so I built an automated HN news monitoring service that delivers relvant news straight to my inbox or RSS feed. It uses LLMs to extract, summarize, and classify the front page articles and analyzes the different perspectives in the comments. No more FOMO :)
Show HN
2024-03-06查看原文
創作者原帖摘錄:
HN is one of my main sources of information for various topics, but I sometimes miss really interesting posts if I'm not regularly checking the front page. That's why I built an automated HN news monitoring service that delivers relvant news straight to my inbox or RSS feed. It uses LLMs to extract, summarize, and classify the front page articles and analyze
Show HN
2024-03-17查看原文
創作者原帖摘錄:
I was curious about the most discussed topics on HN over time, so I started analyzing and categorizing all front-page posts with a simple LLM workflow. The result is an interactive chart that displays the trending topics across different time frames. Although the analysis is still relatively basic, I think it provides an interesting perspective on our commun
Show HN
2025-01-06查看原文
創作者原帖摘錄:
Inspired by Spotify and Twitter Wrapped, I built a simple tool that analyzes your HN activity and generates a personalized summary: - Time & topic breakdown of your HN activity - Your most discussed subjects and technologies - Roasts about your HN habits - Predictions for your 2025 Yes, I know it's a bit late for a 2024 wrap-up, I still wanted to put it out
Show HN
2025-12-20查看原文
創作者原帖摘錄:
I was looking for some fun project to play around with the latest Gemini models and ended up building this :) Enter your username and get: - Generated roasts and stats based on your HN activity 2025 - Your personalized HN front page from 2035 (inspired by a recent Show HN [0]) - An xkcd-style comic of your HN persona It uses the latest gemini-3-flash and gem
Show HN
2026-04-14查看原文
創作者原帖摘錄:
Inspired by karpathy's US job market visualizer[0], I started to dabble with the idea of building live dashboards for certain job markets, starting with quant finance. I extract the career pages of pretty much every major quant firm and classify each posting with a lightweight LLM ETL pipeline. The data is updated daily and the full dataset is available as S
Show HN
2026-05-26查看原文
創作者原帖摘錄:
Congressional trading data is relatively commoditized, but I couldn't find any open-source version with the features I wanted. The data is lagged (median 28 days from trade to disclosure, and 19% miss this deadline), but there's still interesting patterns to explore. Repo: https://github.com/kadoa-org/congress-trading-monitor Let me know if you have any sugg
Show HN
2026-09-21查看原文
創作者原帖摘錄:
The US Department of Agriculture (USDA) publishes daily food price data for about 290 commodities on: - what growers were paid at shipping point - what buyers paid at the big city wholesale markets - what prices supermarkets advertised in their weekly ads This data comes out as dozens of separate text reports and PDFs, one per market, with no history and no

開源倉庫與 Agent 生態

GitHub 開源與智慧體接入
最近提交 2026-10-27
GitHub 星標
★ 10
分支數 (Forks)
1
開源協議
見倉庫說明
主要語言
—

流量來源

訪問構成

這個網站的訪問管道與國家構成還沒有資料。

搜尋

站點權重 —網域名稱註冊 2014-05-01

這個網站還沒有搜尋關鍵字資料。

流量資料:Vaneform

定價

Starter
未知
Enterprise
聯繫銷售
Custom usage limits & volume discounts · Shared workspaces & unlimited users

試用:未提供 · 設企業客製化檔 · 觀察於 2026-11-09 · 原定價頁

頁面與變化

開始記錄於 2026-07-31

關鍵頁面

每週快照

變化

  1. 11 月 1 日 · 13 天前

    首頁主標題(H1)改為「The web data layer for finance.」定位

    Unstructured data holds insights worth billions.→The web data layer for finance.

  2. 11 月 1 日 · 13 天前

    移除技術棧:Radix UI功能

    Radix UI→—

  3. 11 月 1 日 · 13 天前

    新增採用技術棧:Turbopack功能

    —→Turbopack

  4. 11 月 1 日 · 13 天前

    首頁標題改為「The Web Data Layer for Finance · Kadoa」定位

    Kadoa · AI Web Scraper→The Web Data Layer for Finance · Kadoa

問題與證據

Kadoa 的價格是多少?
Starter: 未知; Enterprise: 聯繫銷售. 觀察於 2026-11-09。 當前計費條件、用量限制與稅費以來源頁面為准。來源
Kadoa 是什麼產品,支援哪些平台?
Kadoa 歸屬「網頁採集與提取」市場領域:Kadoa 面向投資機構,通過 AI 代理構建、監控和修復網頁資料管道,將經過驗證的資料集和市場事件提醒交付至團隊使用的工具。。 支援平台包括:MCP 服務、開放 API。
Kadoa 是開源專案嗎?採用什麼協議?
Kadoa 擁有公開程式碼倉庫(https://github.com/kadoa-org/congress-trading-monitor),已公開原始碼倉庫,記錄有 10 個 GitHub Stars。來源

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