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- 入门价
- 按量付费
- 没有月付订阅价
- 首次发布
- 3 年前
- 2023-04-20 · 估算
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暂无访问数据。
营销动作
发布、搜索与内容、引荐、促销在 Show HN 发布（29 分 · 9 评论）发布
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 天前发布页
在 Show HN 发布（63 分 · 25 评论）发布
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 个月前发布页
在 Show HN 发布（1 分）发布
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 个月前发布页
在 Show HN 发布（313 分 · 153 评论）发布
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 个月前发布页
第三方评测与案例拆解
获客渠道拆解、工程师评测与开源档案Show HN
2023-04-20查看原文
- 创作者原帖摘录：
- 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
- 创作者原帖摘录：
- 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
- 创作者原帖摘录：
- 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
- 创作者原帖摘录：
- 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
- 创作者原帖摘录：
- 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
- 创作者原帖摘录：
- 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
- 创作者原帖摘录：
- 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
- 创作者原帖摘录：
- 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
- 创作者原帖摘录：
- 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
- 创作者原帖摘录：
- 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
- 创作者原帖摘录：
- 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
- 创作者原帖摘录：
- 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
- 创作者原帖摘录：
- 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
开源仓库与 Agent 生态
GitHub 开源与智能体接入
流量来源
访问构成
这个网站的访问渠道与国家构成还没有数据。
搜索
站点权重 —域名注册 2014-05-01
这个网站还没有搜索关键词数据。
流量数据：Vaneform
定价
Starter
未知
Enterprise
联系销售
Custom usage limits & volume discounts · Shared workspaces & unlimited users
试用：未提供 · 设企业定制档 · 观察于 2026-11-09 · 原定价页
页面与变化
开始记录于 2026-07-31
关键页面
每周快照- 首页www.kadoa.com/
- 定价www.kadoa.com/pricing 快照 2026-11-09
- 功能www.kadoa.com/use-cases 快照 2026-11-09
变化
问题与证据
- Kadoa 的价格是多少？
- Starter: 未知; Enterprise: 联系销售. 观察于 2026-11-09。 当前计费条件、用量限制与税费以来源页面为准。来源
- Kadoa 是什么产品，支持哪些平台？
- Kadoa 归属「网页采集与提取」赛道：Kadoa 面向投资机构，通过 AI 代理构建、监控和修复网页数据管道，将经过验证的数据集和市场事件提醒交付至团队使用的工具。。 支持平台包括：MCP 服务、开放 API。
- Kadoa 是开源项目吗？采用什么协议？
- Kadoa 拥有公开代码仓库（https://github.com/kadoa-org/congress-trading-monitor），已公开源代码仓库，记录有 10 个 GitHub Stars。来源
同分类研究对象
数据与分析 / 网页采集与提取
这些产品属于同一目录分类。选型时请进一步核对客户任务、功能与部署要求。